Statistical Analyst Resume Samples

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VW
V Wilderman
Valerie
Wilderman
1716 D'Amore Springs
San Francisco
CA
+1 (555) 355 1917
1716 D'Amore Springs
San Francisco
CA
Phone
p +1 (555) 355 1917
Experience Experience
San Francisco, CA
Statistical Analyst
San Francisco, CA
Schuppe LLC
San Francisco, CA
Statistical Analyst
  • Develop and execute quality assurance procedures related to all aspects of the duties pertaining to providing analytic services
  • Provide assistance to junior and external programmers in the development of statistical programs
  • Takes complex questions and develops and executes a plan to collect, explore, and analyze data to make business decisions
  • Coordinates with analysts and other Post Sales Surveillance teams to develop and execute reports and metrics dashboards
  • Prepare presentations and develop reporting mechanisms that communicate identified trends and patterns to Portfolio Manager and Research Analysts
  • Build and improve on Macros to make data processing and presentation more efficient
  • Provides cross-functional analysis of customers to investigate trends and develop correlations across customer profiles and segments
San Francisco, CA
Cdoc Statistical Analyst
San Francisco, CA
Braun LLC
San Francisco, CA
Cdoc Statistical Analyst
  • Publish periodic departmental reports and bulletins by designing, organizing, and maintaining research databases comprised of departmental data
  • Report population trends by analyzing data for forecasting and reporting the impact of decisions
  • Query offender data systems by downloading necessary data and building large datasets from relational databases
  • Uniquely acquired through an intense education or training regimen at a recognized college or university
  • Complete ad hoc research requests and surveys by interpreting data questions; collecting data from sources such as computer reports, online programs, and published literature; and conducting analysis using inferential statistical techniques
  • Report the findings based on judgment of the results of the inferential techniques and ensure that the requesting party understands and interprets the findings correctly
  • Maintain OPA reporting system
present
Philadelphia, PA
Senior Statistical Analyst
Philadelphia, PA
DuBuque-O'Reilly
present
Philadelphia, PA
Senior Statistical Analyst
present
  • Provide guidance and oversight in developing standardized data management and verification protocol
  • Responsible for identifying opportunities for productivity improvements and formulating implementation plans. Independently develop new processes
  • Contribute to the development and continuous improvement of programming process and standard
  • Manages datasets in accordance with data use agreements and YNHH CORE data management and security procedures
  • Perform conformance checking of SDTM and ADaM datasets using OpenCDISC; ensure datasets are in compliance with submission standards
  • Lead programming support for complex oncology studies, provide input to timeline development, and resource assessment
  • Perform conformance checking of SDTM and ADaM datasets using Pinnacle 21; ensure datasets are in compliance with submission standards
Education Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
University of Virginia
Bachelor’s Degree in Statistics
Skills Skills
  • Creative strategist with ability to execute plans with strong attention to detail
  • Excellent knowledge of Excel and Tableau
  • Demonstrate a proven ability to multi-task and prioritize multiple projects with a high attention to detail and accuracy
  • Ability to build and maintain strong internal relationships with various cross functional areas
  • Highly motivated with ability to work in a fast paced, changing environment
  • Excellent organizational skills; ability to handle multiple projects simultaneously
  • Proven excellent organization skills, and ability to handle multiple projects simultaneously
  • Good level of statistical knowledge/experience
  • Strong communication skills (written and verbal); ability to present communication plans to customers
  • Ability to query databases and perform statistical analysis; strong understanding of statistics and statistical theory
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15 Statistical Analyst resume templates

1

Statistical Analyst Resume Examples & Samples

  • Must have 5+ years of advanced analytics experience w/ extensive hands-on experience working on analytical studies from: crafting the methodology, to data mining/predictive modeling within SAS,SPSS, or R, and ultimately delivering final insightful recommendations
  • Must have 5+ years of experience in predictive modeling techniques (linear/logistic/multivariate regression models, decision trees, forecasting, t-testing, cluster/factor analysis, etc.) using SAS, SPSS, or R
  • Experience with test design and preparing testing scenarios on model performance using SAS, SPSS, or R
  • Relocation assistance will be provided and will transfer existing H1 Visa Recruiter: Sunil Sud
2

Senior Statistical Analyst Resume Examples & Samples

  • Provide analytic capabilities which will help the organization understand its customers, intermediaries as well as target markets
  • Develop complex statistical models as well as providing analysis on the effectiveness of existing models
  • Identify and investigate new statistical technologies, list enhancement and database marketing opportunities
  • Provide ad-hoc analysis of marketing programs, including test analysis and recommendations for future programs
  • Conducts exploratory analysis and customer segmentations for various markets, including affinity relationships
  • Conduct experimentally designed tests, evaluate results and communicate test learning to appropriate groups
  • Educate and make recommendations to marketing, sales and service to ensure optimal marketing strategy is being utilized
  • Communicate actionable findings to non-technical audience in clear and concise language
  • Develop and maintain skills to the highest standards to identify best practices and emerging trends in analytics, both within and outside the insurance industry (e.g., SAS Certification)
  • Develop data and dashboards as needed for business case for business use of reporting functionality of visualization tool
  • Provide thought leadership on best practices related to measurement, customer knowledge and predictive modeling techniques
  • Considered and expert in areas of data base marketing, cross channel analytics (on/off line), as well as, various analytic tools and techniques
  • May provide leadership and perform management functions for employees who may report to the position, including selection, performance management, employee development, work assignment and prioritization, and supervision
  • Bachelor’s degree in Math, Statistics, Economics or related quantitative field
  • SAS or R programming experience (and understanding of the underlying assumptions built into the techniques)
  • 5 -7 years of demonstrated experience in using analytics to drive business initiatives
  • Strong communication, interpersonal, time/project management and problem solving skills
  • Effective in supporting team development, working across the organization to build consensus and action without direct control
  • Able to see the “big-picture”, yet exceptionally detail oriented to produce accurate results
  • Completed Advanced degree in a Quantitative discipline or an MBA
  • Knowledge of digital analytics
  • Prior experience utilizing predictive analytics within an operational environment
3

Statistical Analyst Resume Examples & Samples

  • Applies various quantitative methods to analyze and interpret information from multiple data sources
  • Develops basic statistical models as well as providing analysis on the effectiveness of existing models
  • Provides ad-hoc analysis of marketing programs, including test analysis and recommendations for future programs
  • Communicates actionable findings to non-technical audience in clear and concise language
  • Develops and maintains skills to the highest standards to identify best practices and emerging trends in analytics, both within and outside the insurance industry (e.g., SAS Certification)
  • Utilization of visualization tool for delivering analysis to the business as appropriate
  • Develop data and dashboards as needed for business use of reporting functionality of visualization tool
  • Completed or working toward Advanced degree in a Quantitative discipline or MBA
  • 1+years professional experience in a related field
  • Experience with a visualization tool such as Tableau or SAS Visual Analytics
4

Senior Statistical Analyst Resume Examples & Samples

  • Work independently and with other marketing professionals (Strategy, Account, Creative, Research) to express marketing and media questions as manageable analytical problems leading to valued decision support
  • Perform exploratory data analysis and statistical modeling in support of ongoing lines of research, aid in the refinement of existing tools and development of new tools, and fulfill ad hoc requests
  • Work with a mix of data types (e.g., aggregate metrics, consumer-level data) employing creativity and flexible problem solving skills to address a variety of marketing questions
  • Plan, execute and effectively communicate the results of analyses to translate complex statistical results into actionable business decisions
  • Strong background in statistical modeling and forecasting: some mix of expertise in generalized linear modeling, decision trees, consumer segmentation, time-series forecasting, etc
  • Proficiency in SAS statistical packages: Base, Stat, SQL, macros as well as Microsoft Suite (Excel, PowerPoint, Word)
  • Ability to work in fast-paced marketing and advertising environment both independently and collaboratively
  • Experience in the automotive industry a plus
  • Bachelor’s degree or equivalent experience preferred. Advanced degree preferred; discipline flexible but role required strong quantitative ability and knowledge of social sciences
  • Minimum of five years of applicable experience using SAS for predictive and forecast model development
5

Statistical Analyst Resume Examples & Samples

  • Masters Degree in Statistics, Mathematics, and Economics, Operations Research,or MBA(with Engineering in Bachelors) or similar research oriented quantitative discipline
  • Atleast 2 years of experience in analytical role
  • Experience in SAS/R and SQL
  • Good Communication skills and should be able to explain his/her ideas / thought process clearly
6

Senior Statistical Analyst Resume Examples & Samples

  • Masters Degree in Statistics, Mathematics, and Economics, Operations Research,or MBA(with Engineering in Bachelors) or BTech or similar research oriented quantitative discipline
  • Atleast 5 years of experience in analytical role
  • Experience in SAS/R/Python and SQL
  • Experience working with very large databases (500+ GB)
  • A working knowledge of RDMS, including table structure and metadata, and database tools
  • Experience working with very large databases (500+ GB).Working knowledge of RDMS, including table structure and metadata, and database tools
  • Working knowledge of a financial institution's organizational areas and/or the mutual fund industry is desirable
  • Keeps up-to-date with leading-edge developments as related to profession and/or industry
  • Willingness to work in a Team and as an Individual to garner best results
  • Serves as a technical resource for others. Has in-depth experience in the area
7

Digital Statistical Analyst Resume Examples & Samples

  • Provides analytic capabilities which will help the organization understand its customers, intermediaries as well as target markets
  • Conducts experimentally designed tests, evaluate results and communicate test learning to marketing and business partners
  • Educates and makes recommendations to marketing, sales and service to ensure optimal marketing strategy is being utilized
  • Takes an active role in creating an environment of innovation, collaboration, transparency, accountability and trust
  • Assist the business in self-service reporting through the visualization tool
  • Developing custom marketing dashboard concepts for reporting
  • Reporting on key metrics, analyzing and interpreting trends/user behavior and providing actionable insights based on available online analytics data
  • Bachelor’s degree in Analytics, Mathematics, Statistics, Economics or related quantitative field
  • SAS or R programming experience as well as an understanding of the underlying assumptions built into advanced analytics techniques
  • Demonstrated experience using analytics to drive business initiatives
  • Strong Communication, interpersonal, time/project management and problem solving skills
  • Able to see the “big-picture’, yet exceptionally detail oriented to produce accurate results
  • Effectively support team development, working across the organization to build consensus and action without direct control
  • Proven experience with Web Analytics tools like Google Analytics/Google AdWords/Webtrends preferred
  • Experience in measuring and analyzing online marketing campaigns including: natural and paid search, email, affiliate, display and social
  • Experience in extracting data from Social Media platforms and analyze data for meaningful insights
8

Statistical Analyst Resume Examples & Samples

  • Development of econometric models to understand key drivers of advertising sales including macroeconomic indicators
  • Development of pricing strategies
  • Big data initiatives
  • Forecasting future revenue
  • Creation of scenario planning tools
  • Managing our data feeds and utilising for insight driven sales strategies
  • Client Segmentation
  • Audience Targeting/Insights
  • Client Churn Modelling
  • Ad Effectiveness
  • Digital Advertising optimization
  • Illustrating value of titles
  • Supporting wider strategic initiatives
  • Commercial experience in working with data
  • Experience of project managing and liaising with sales teams
  • Experience of developing data driven strategies
  • Competent in using statistical computing packages such as R, SAS etc
  • Experience of working with a wide range of analytical techniques
  • Proven understanding of the agency marketplace and the broader media landscape
  • Ability to pick up new techniques and methods in a fast paced environment
  • Effective communication skills, with the ability to communication style accordingly
  • Creativity & Problem Solving skills
  • People Management and leadership skills
9

Senior Statistical Analyst Resume Examples & Samples

  • Education and Experience: *
  • Masters degree in statistics or related quantitative field plus 3 years of experience in a similar role
  • Baccalaureate degree in statistics or related quantitative field and 5 years of experience in a similar role
  • Three or more years experience using SAS, SPSS, SQL and/or related tools for data management and statistical analysis, preferably in the area of educational or professional testing
  • Advanced SPSS, SQL and/or SAS programming skills including SQA BASE/STAT/MACRO/SQL etc
  • Strong internet and MS Office (Excel, Word, Access) skills
  • Familiarity with the principles of test construction, classical and IRT-based item analysis, and item calibration, linking, and equating desired
  • Experience working with a variety of data structures (relational database) and with files that are moderately complex
  • Experience with large data management sets
  • Experience with SQA, including data input and output, file manipulation, (e.g., merging and interleaving), and statistical procedures
  • Ability to summarize complex technical information and communicate it to a variety of audiences
  • Excellent organizational skills; ability to handle multiple projects simultaneously
  • Strong commitment and persistence to work
10

Statistical Analyst Resume Examples & Samples

  • Strong Statistical background and experience
  • Significant forecasting experience required, strong modeling background is a plus
  • Monitoring of data trends and analyzing patterns in data
  • Experience in data analysis, developing trend and comparison reporting
  • Interpreting results/reports/trend information, explaining relationships in data andmaking recommendations when needed
  • Strong Microsoft Office skills (Word, Excel, and Powerpoint required, Access and SQL a plus). Strong proficiency in creating and managing complex, connected workbooks/sheets, manipulating/segmenting data (e.g., pivot tables, filtering), constructing macros, and generating complex formulas and calculations
11

Statistical Analyst Resume Examples & Samples

  • Perform a thorough analysis of email campaigns and transactional data; what happened?
  • When the situation calls for it preform ad-hoc analysis; why did this happen?
  • Be a champion of email testing; how can we get better?
  • Harness large volumes of data for analysis with interpretation of results in business context; where are the opportunities?
  • Build predictive statistical models; what will happen next? Who is it likely to happen to?
  • Bachelor or Master's degree in a quantitative field (Statistics, Mathematics, Engineering, Economics, etc.); graduate degree is strongly preferred
  • Thorough understanding of basic statistical methods (hypothesis testing, linear regression, logistic regression, etc.)
  • Hands on experience with SAS
  • Experience in SQL programming or relational database tools such as Business Objects a plus
  • Keen ability to visualize data through graphing/ charting/ information display skills (strong Power Point skills are essential)
  • Ability to explain complex analysis in layman’s terms to a non-technical audience
  • 1-2 years professional experience preferred
12

Statistical Analyst Resume Examples & Samples

  • Undergraduate degree in mathematics, statistics, computer science or equivalent along with 1-2 years experience in a similar job function or a Masters degree in mathematics, statistics, computer science or equivalent
  • Experience in statistical analysis preferred
  • Working knowledge of testing theories
  • Strong computer/technical skills
  • Proficient in MS Excel, MS Access, and text editors (including macros)
  • Experience with statistical packages such as SPSS desired
13

Fair Lending Statistical Analyst Resume Examples & Samples

  • Develops innovative approaches to identify and monitor fair lending risk
  • Serves as project lead and provides direction to other analysts as it pertains to fair lending objectives
  • Uses results of analyses to characterize fair lending risks. Prepares findings and presents to internal and external stakeholders in written and verbal form
  • Collaborates with business units to improve their understanding of analytical findings and their implications for business practices
  • Maintains up-to-date knowledge of regulations and regulatory guidance, enforcement actions, and industry trends and incorporates this knowledge into ongoing development and maintenance of fair lending analytics
  • Familiarity with statistical and analytical tools such as SAS, SQL or Fair Lending Wiz
  • Familiarity with financial regulations (such as HMDA, ECOA, CRA and FHA)
  • Familiarity with corporate compliance programs, including risk assessments, testing and monitoring, training, policy/procedure development, and implementation of new products and business processes
  • Excellent oral and written communication skills with emphasis on ability to express statistical ideas and concepts clearly and logically
  • 20151217
14

Statistical Analyst Resume Examples & Samples

  • Independently conducts rigorous statistical analysis, including statistical modeling, multiple regressions,
  • Takes complex questions and develops and executes a plan to collect, explore, and analyze data to make business decisions
  • Works with subject matter experts across the organization to understand data sources, data errors, and validate outputs
  • Ensures that productivity, quality and timeliness of all projects are accomplished in accordance with agreed-upon timelines. Makes recommendations on improvements as appropriate
  • Acts as an ambassador for the Business Project Office encouraging compliance with new processes and procedures
  • Ensures accuracy and integrity of data
  • Excellent analytical and organizational skills
  • Mature, self-starting, self-motivating, and capable of making decisions independently
15

Statistical Analyst Resume Examples & Samples

  • Assist psychometrician in reviewing data entry specification, variable names, and table mockup, as well as in drafting data analysis specification
  • Data clean-up, data preparation, computer scoring, identify and predict missing data, outlier checking
  • Conduct data analysis, such as classic and IRT item analysis, bias analysis, distracter analysis, logistic regression, reliability and validity analysis, factor analysis, equating and vertical scaling, norms development, etc
  • Prepare tables, graphs, or charts for test manual
  • Conduct quality assurance for tables and data analysis results
  • Write the SAS scoring code and create MTCF for Q-Global
  • Archive data and handle data request from authors or customers
  • B.A. or M.A. degree related to the following areas: statistics, applied mathematics, computer science, psychological assessment, psychology, or educational assessment
  • Understand basic concepts and methods of statistics and research design
  • Experience with data analysis in test development preferred
  • Fluent with SAS - At least two years experience with data analysis using SAS. Must have fluent SAS macro skills
  • Familiar with other statistical or software packages, and programming languages such as: SPSS, Excel, Word, Power Point, etc
16

Senior Statistical Analyst Resume Examples & Samples

  • Advanced SAS programming skills including BASE/STAT/MACRO/ACCESS/SQL
  • At least, three years of experience using SAS and/or SQL for data management and statistical analysis, preferably in the area of educational or professional testing
  • Background in another structured programming language, such as C#/Java/Python/VB.NET, will be a plus
  • Strong MS Office (Excel, Word, Access) skills, experience with VBA is a plus
  • Master’s degree in statistics or related quantitative field plus 3 years of experience in a similar role, or
  • Baccalaureate degree in statistics or related quantitative field with 5 years of experience in a similar role
17

Statistical Analyst Resume Examples & Samples

  • Develop statistical models to forecast behavior
  • Develop the pricing strategy and advertising plan for new business opportunities
  • Using statistical analysis, advise project managers on how to increase profitability on current projects
  • Create analytic reports that drive revenue
18

Senior Statistical Analyst Resume Examples & Samples

  • Proven experience with statistical and predictive modeling that leverages both structured and unstructured data (Big data)
  • Extensive experience in a related industry and with significant experience using database and analytical tools (SAS and SQL based)
  • Proven experience with enabling business change through the use of analytical solutions
  • Pro-active, creative, customer-focused individual, with a strong desire to lead initiatives and challenge themselves and others within the team
  • Excellent communication and consulting skills to be able to relate to all levels of management
  • Tertiary qualification with a strong numerical element (e.g. business, mathematics, or statistics)
  • Experience with Big Data technologies will be favourably looked upon
19

Statistical Analyst Resume Examples & Samples

  • Maintains, updates, and operates existing computer programs for analysis required for test projects
  • Writes logic in programs to obtain required parameters to ensure data quality
  • Applies given formulas to obtain required statistics for various types of analysis
  • Maintains written documentation of all programming procedures and file structures for each project
  • Works closely with the FDOE Scoring and Reporting group to maintain computer programs for all past and current projects
  • Develops and updates SAS code for analysis required for test projects
  • Assists with checking results of data analyses, applying prescribed criteria, and reporting questionable results
  • Uses PearsonAccess database to aid in analysis required for test projects
  • Assists FDOE in developing desired proficiency in using PearsonAccess
  • Communicates customer concerns/insights to Pearson Scoring and Reporting Program Manager
  • One year or more of programming experience in SAS
  • Typically acquired via a bachelor’s degree in related discipline or appropriate combination of education
  • Willing to continuously update knowledge and skills in new software available for test data analysis and efficiency enhancement
20

Senior Statistical Analyst Resume Examples & Samples

  • Undergraduate (Bachelors) degree with (3) years of experience in data research, predictive modeling, statistical analysis, data transformation and / or other analytical role developing insights for use in business decisions
  • Graduate (Masters) degree with (1) years of experience in data research, predictive modeling, statistical analysis, data transformation and / or other analytical role developing insights for use in business decisions
  • Education in Computer Science, Statistics, Mathematics, or other relevant STEM degree
  • Understanding of statistical and predictive modeling techniques such as generalized linear modeling, decision trees, association rules, clustering, regression, machine learning, probability networks, and neural networks
  • Experience with programming and data tools such as SAS, R, Python, SQL, etc
  • Ability/Desire to learn new skills and technologies quickly
  • Professional experience transforming data and/or developing insights for use in business decisions
  • Ability to share recommendations to audiences at varying levels of analytic understanding
21

Statistical Analyst Resume Examples & Samples

  • The incumbent will interact with biostatisticians, physicians and other clinicians to carry out statistical data programming and processing of studies
  • 4 years' data analysis/report writing or similar experience required
  • Familiarity with additional statistical languages (e.g.,R, LaTex, STATA)
22

Senior Statistical Analyst Resume Examples & Samples

  • 6years' data analysis/report writing or similar experience
  • Proficient with SAS and/or STATA
  • Successful completion of a full course of study in an accredited college or university leading to a master's degree in biostatistics, epidemiology, public health or a related field or the equivalent combination and experience in statistics, data management and statistical data processing from which comparable knowledge and abilities can be acquired
23

Senior Statistical Analyst Resume Examples & Samples

  • Develop standardized templates and procedures for internal/external data reporting
  • 6 years' data analysis/report writing or similar experience required
  • Redcap abilities are a must
24

Statistical Analyst Resume Examples & Samples

  • Design, develop, test, monitor and support a variety of statistical methodologies using SAS programming
  • Provide statistical programming support to analytical projects. Interpret results and communicate results concisely to various levels of management within the organization
  • Perform robust data mining and data analysis across a variety of lending products
  • Creates analytical reports summarizing fair and responsible banking risk and presents results for review by internal and certain external (regulatory staff) customers
  • Create and maintain documentation to support each model; document business policy change tracking to support variables used and/or changes in variables
  • Maintain appropriate levels of technical writing documentation to support each analysis program; ensuring quantitative methodology to asses fair lending risk is consistent with regulatory and industry expectations
  • Five to seven years in applicable laws, regulations, financial services
  • At least 5 years of related quantitative experience, preferably in financial services using large and complex datasets, with SAS certified or extensive data analytics experience
  • Experience in performing and leading complex consumer compliance statistical analysis and monitoring functions or certified audit professional with advanced fair lending analytical experience
  • Ability and experience in executing fair and responsible banking statistical analysis
  • Ability and experience in analyzing HMDA data for internal and external interpretation about lending practices
  • Advanced knowledge of fair and responsible banking laws and regulations, including HMDA, Fair Lending Laws, UDAAP, and consumer protection laws, as well as related regulatory examination standards, applicable regulatory guidance, and litigation and enforcement actions
  • Thorough knowledge of U.S. Bancorp operations, policies and procedures, and the ability to review and revise policies and procedures to demonstrate effectuate compliance
  • Ability to influence business line management to proactively mitigate Fair Lending and consumer risk and manage multiple complex projects and deadlines simultaneously, working with auditors and examiners, and reporting issues and trends to management
  • Excellent written, verbal, and interpersonal communication skills with the ability to generate effective presentations and management reporting and communicate concisely with end users and management
  • Demonstrate a proven ability to multi-task and prioritize multiple projects with a high attention to detail and accuracy
  • Extensive knowledge of Microsoft Office packages, specifically Excel, PowerPoint, and Visio
25

Statistical Analyst Resume Examples & Samples

  • Design, develop, and perform complex statistical steering and redlining analytics. Interpret results and communicate results concisely to various levels of management within the organization
  • Perform robust interpretation of the HMDA data providing a comprehensive understanding of the data and the lending performance inferred within U.S. Bank and its peer lending institutions
  • Participate in the establishment of annual Analysis Planning schedules
  • Seven to ten years in applicable laws, regulations, financial services
  • SAS certified or extensive data analytics experience
  • At least 7 years of related quantitative experience, preferably in financial services using large and complex datasets with SAS
  • Ability and experience in executing fair and responsible banking statistical steering and redlining analyses programs
26

Statistical Analyst Resume Examples & Samples

  • Developing statistical models
  • Conducting research
  • Enhancing various client projects by providing statistical analysis
  • Conduct ad hoc statistical analysis
  • Develop generalized linear models and predictive models
  • Use statistical approaches to solve client problems or assist in research
  • Support various client projects and research with statistical analysis
  • Conduct data analysis, testing and validation activities
  • Communicate results in well written reports and client presentations in a clear and concise manner
  • 3+ years of experience with applied statistical analysis and predictive modeling required
  • Strong understanding of statistical approaches and tools and their application to business problems
  • Proficiency with SAS, SQL, and R
  • Well-rounded statistical background
  • Familiarity with insurance concepts
  • Analytical thinker, able to assess problems logically
  • Strong communication skills and experience working with a team
  • Detailed and organized
27

Statistical Analyst Resume Examples & Samples

  • 1-4 years of computational and statistical analysis and data sourcing
  • Skillset in mathematics and statistical analytics
  • Ability to design data collection systems and strategies that optimize statistical efficiency and data quality
  • Acquire data from internal and external data sources; build systems to maintain and leverage insights from collected data
  • Assess and identify data quality issues in collected data
  • Prepare presentations and develop reporting mechanisms that communicate identified trends and patterns to Portfolio Manager and Research Analysts
  • From an educational perspective, candidate should have statistics and or mathematics background
28

Statistical Analyst Resume Examples & Samples

  • Ability to query databases and perform statistical analysis; strong understanding of statistics and statistical theory
  • Strong communication skills (written and verbal); ability to present communication plans to customers
  • Strong team player, adept in multi-tasking
  • Actively works to resolve project challenges and facilitates knowledge transfer between team members
  • Evaluate and analyze Net Promoter Score data to find correlations with business KPIs
  • Evaluate NPS key driver analyses request and provide insights back to the business
  • Develop roadmap of how the various NPS analyses become part of broader consumer experience analytics ecosystem
  • Create and deliver standard consumer insights around NPS related to consumer profiling to key stakeholders
  • Develop predictive models based on NPS results that demonstrate the impact of employing strategies to influence the scores
  • Undertake rigorous and meticulous data analysis to extract and distill key population insights that will be consumed by functions such as business strategy, product marketing, and consumer marketing
  • Bachelor’s Degree in a quantitative/business field such as Economics, Statistics, or Business Management
  • 3+ years of statistical modeling experience in applications such as SAS, Stata, or SPSS
  • Strong knowledge of extracting and developing key consumer insights within a population
  • Proficiency in distilling insights and presenting to business leadership
  • Experience utilizing both qualitative analysis (e.g., content analysis, hypothesis testing) and quantitative analysis techniques (e.g., cluster analysis, inferential statistics)
29

Senior Statistical Analyst Resume Examples & Samples

  • Work closely with Finance, Call Center Optimization, member propensity, risk score and Medicare care star area to develop statistical model and perform data analysis
  • Translate business requirement into SAS code for use within internal system and models
  • Validation of models
  • Extract data from internal data warehouse
  • Model / Analytics Implementation, Deploy and Maintain model performance monitoring processes
  • Ability to create and develop strong working partnership within organization
  • BS degree in Mathematics, Statistics, and Engineering, Computer Sciences, Quantitative Field or related field
  • Minimum 3 years’ experience as a Statistical Analyst / Research Analyst
  • Minimum 3 years in predictive modeling and/or optimization modeling, data manipulations
  • Minimum 3 years of healthcare administrative data and/or marketing data
  • Minimum 3 years working experience with large databases and data warehousing to perform data mining
  • Experience working for a large enterprise with fragmented and/or unstructured data sources
  • Intermediate programming level of proficiency in SQL, SAS and/or Oracle environment
  • Ability to problem solving including multiple priorities and research conflicting and/or data auditing
  • Medicare business experience
30

Senior Statistical Analyst Resume Examples & Samples

  • Demonstrated ability to effectively communicate quantitative information to medical, research and administrative personnel
  • Proficient with administrative software (e.g., MS Office) and analytical software tools (e.g., SAS, STATA, R, SQL, Python)
  • Demonstrated ability to coordinate and be accountable for multiple tasks
  • Demonstrated competence in written, oral and electronic communication skills (interpersonal communication and technological effectiveness competencies)
  • Demonstrated ability to work independently as well as with interdisciplinary teams
  • Master’s degree in Statistics or closely related field required
  • A minimum of three years’ experience as an analyst, or equivalent role required
  • Experience with electronic health record data preferred
  • Record of independent or collaborative publications preferred
31

Statistical Analyst Resume Examples & Samples

  • Develops analytical and data mining solutions to improve customer acquisition, product upgrades/cross-sells and retention campaigns
  • Performs statistical analyses of both acquisition and policyholder sales marketing activities
  • Develops and maintains statistical models used to predict potential customers, predict the potential of insurers to lapse coverage, and segment the current insured and uninsured member population for marketing campaigns
  • Searches for new market segments and opportunities through statistical data mining methods, mapping of current and potential customers, and new data sources, as well as, creates and analyzes customer profiles for end users
  • Interacts with marketers and other end users to ensure the proper use and interpretation of statistical information and to discover new ways of retaining and communicating with customers
  • Coordinates, tracks, analyzes, and reports project results utilizing technical research software and information from supporting systems
  • Supports daily marketing activities such as test designs, sample sizes, confidence intervals, and ad hoc requests
  • Master’s degree or equivalent experience in mathematics, statistics, MSIS or other quantitative field required
  • 5+ years of experience in multivariate data analysis, modeling, and statistics applications in marketing or insurance fields
  • Experience with multivariate regression, logistic regression, and cluster analysis preferred
  • Proficiency with basic statistics applications and data analysis
  • Proficiency in the use of base SAS and SAS/STAT, database mining and SQL
  • Proficiency with the application of multivariate data analysis, modeling techniques, and basic statistics required
  • Multivariate regression, logistical regression, and discriminate analysis preferred
  • TSO/ISPF, MVS/JCL, DB2, SQL, and statistical software/data mining techniques preferred
  • Familiarity with mapping packages preferred
  • Strong written and verbal skills with the ability to communicate technical information to a non-technical audience
  • Ability to work independently with minimal direction and assist other team members, as needed
32

Principal Statistical Analyst Resume Examples & Samples

  • Provide performance management for 0-5 statistical programmers
  • MS in Statistics, Computer Science or a related field with 8+ years of relevant experience or BS in Statistics, Computer Science or a related field with 10+ years of relevant experience
  • High degree of technical competence and communication ability, both oral and written. Competent in SAS programming and Macro development
  • Pharmaceutical experience with clinical trials, including familiarity with expectations of regulatory agencies, especially FDA and EMEA. NDA/BLA or other regulatory filing experience, including ISS or ISE experience
  • Thorough understanding of ICH Guidelines and relevant regulatory requirements
  • Project lead experience required. Management experience not required
33

Senior Statistical Analyst Resume Examples & Samples

  • Essential duties and responsibilities include the following
  • Lead programming support for complex oncology studies, provide input to timeline development, and resource assessment
  • Create/review programming plan, specifications for datasets and TLFs. Advanced knowledge with CDISC conventions, i.e., SDTM and ADaM models and experienced in implementing these models
  • Develop and validate SAS® programs to produce high quality deliverables for in-house projects within set timelines in accordance with company and regulatory requirements. The deliverables include SDTM and ADaM datasets, define.xml, tables, listings and figures
  • Perform conformance checking of SDTM and ADaM datasets using OpenCDISC; ensure datasets are in compliance with submission standards
  • Manage CRO programming activities; review and validate deliverables produced by CROs, independently provide solutions to issues raised by CROs
  • Lead the creation and review of analysis file specification for ISS and ISE; program and validate ISS and ISE
  • Having advanced level of programming expertise, create and validate global SAS macros and utilities to automate standard and frequent tasks
  • Review and provide input on documents produced by other Data Science functions such as: statistical analysis plans; TFL shells; data management plans; data transfer plans; electronic data entry screens; and case report forms
  • Contribute to the development and continuous improvement of programming process and standard
  • Effectively communicate in a project team environment, within department, among functional groups and external collaborators
  • Perform other programming duties as assigned
  • Minimum of BS required in Computer Science, Statistics, Life Sciences or other related field
  • BS with 6+ years or MS with 4+ years of SAS programming experience in drug development in CRO or pharma/biotech company
34

Statistical Analyst Resume Examples & Samples

  • Run predictive models to forecast behavior within the business
  • Using statistical data analysis, advise project managers on ways to improve performance and increase profitability on current contracts
  • Design analytical reports that empower the company to reach its revenue goals and solve current business problems
  • Become an expert at Acurian’s proprietary predictive model. Analyze and interpret the model’s results. Make actionable recommendations for ensuring projects meet deadlines using the model’s results
35

Statistical Analyst Resume Examples & Samples

  • Conduct univariate and multivariate analytical projects to identify key opportunities, make recommendations for additional quality programs and analytics
  • Analyzes, plans, reports and presents quality analytics
  • Develops standardized and ad hoc reports on quality program performance
  • Develops testing procedures and control groups to determine optimal program performance
  • Utilizes statistical software (SAS) to mine and analyze data to support quality initiatives
  • Analyzes trends to recommend program, process and operational improvements
  • Prepares detail and summary level reports including written interpretation of analytic results
  • Presents result to management, including data driven business recommendations and alternatives
  • Evaluates financial and quality impact of implemented initiatives
  • Performs special duties as assigned
  • Required: Bachelor's Degree in Statistics, Math or Public Health
  • Preferred: Master's Degree in Statistics, Math or Public Health
  • Required: 3+ years of experience in related business analysis, in a Healthcare environment (1+ year required if candidate possesses a Master's Degree)
  • Required: 2+ years of experience in Regression, Multivariate and Predictive modeling (i.e. OLS, ANOVA, LOGISTIC)
  • Required: 2+ years of experience in relevant programming to include SAS or SQL
  • Demonstrated organizational skills Demonstrated organizational skills with the ability to prioritize and coordinate multiple projects
  • Ability to analyze information and convert related activities into a comprehensive work plan
  • Ability to create appropriate and impactful presentations based on audience needs
  • IDemonstrated problem solving skills
  • Statistical analysis within EG SAS and Unix environments
36

Senior Principal Statistical Analyst Resume Examples & Samples

  • Actively participate in and contribute to decision making related to clinical development strategies, regulatory strategies, and commercial strategies
  • Facilitate the implementation of innovative design and analysis methodology
  • Negotiate timelines (statistical) at compound level
  • Actively participate in the development and review of the study synopsis, protocol, statistical analysis plan, clinical study report, and other regulatory submission documents, ensuring accurate and statistically valid deliverables
  • Oversee definition and implementation of compound-level database (including derived database), analysis and reporting standards. Improve or use existing standards to ensure maximization of global integratibility and interpretability of data and enhance efficiency at compound level. Coordinate with Data Management, Programming, Clinical and PV to target high quality databases and specifications at compound level
  • Direct compound level analysis and reporting activities (eg, tables, listings, graphs)
  • Identify compound level vendor requirements and participate in the evaluation/selection of vendors. Provide compound level analytical oversight of statistical activities of external vendors to ensure timeliness and quality of analysis data and statistical outputs. Review and approve key statistical vendor deliverables
  • Anticipate and communicate internal and external resource and quality issues that may impact deliverables or timelines of the compound level program. Propose and implement solutions. Escalate issues to management as appropriate in a timely manner
  • Lead the implementation of department standards and process improvements
  • Lead evaluation and implementation of alternative analysis methodology and data presentation techniques
  • Coordinate with Global Statistical Programming to optimize efficiency of compound level programming and analytical strategy
  • Monitors and evaluates existing and new regulations and global guidelines as well as industry trends related to statistical analysis practice and standards
  • Lead assessment of statistical software, systems, and process optimization
  • Generally requires PhD in statistics or biostatistics with at least 8 years of relevant pharmaceutical industry experience or MS in statistics or biostatistics with at least 10 years of relevant pharmaceutical industry experience
  • Experience with at least one NDA/CTDs or other global regulatory submissions
  • Advanced knowledge of clinical study designs, common analysis methods, descriptive and inferential statistics
  • Advanced knowledge of the pharmaceutical industry including understanding of clinical drug development process and associated documents
  • Good knowledge of FDA and ICH regulations and industry standards applicable to the design, analysis of clinical trials and regulatory submissions
  • Extensive knowledge of statistical programming languages (including SAS), software, techniques, and processes. Extensive knowledge of UNIX operating systems, and common software products and technologies used in conjunction with SAS (e.g., Microsoft OfficeÒ products)
  • Strong collaborative skills and ability to work with a cross-functional team
37

Statistical Analyst Resume Examples & Samples

  • Ability to apply innovative programming techniques to solve critical problems
  • Operate in collaboration with study personnel, provide input on analysis conduct of each study
  • Assist in developing efficient working relationships and practice with TPO partners
  • Participate in peer-review work products from other statistical colleagues, and advise others on technical aspects
  • Experience in modelling
  • Good level of statistical knowledge/experience
  • Self-management skills with a focus on results for timely and accurate completion of competing deliverables and demonstrated problem solving ability and strategic thinking
38

Statistical Analyst Resume Examples & Samples

  • 1-2 years experience working in the marketing research industry
  • Knowledge of the basic statistical methodologies listed above and how they correspond to particular marketing business questions
  • Solid base knowledge of tools such as R, SPSS, Sawtooth, etc
  • Strong consultation and communication skills and experience managing internal stakeholders or clients
  • Passion for marketing sciences and applying research to solve problems in a business context
  • Graduate level education in a relevant field; e.g., quantitative studies, research sciences, marketing, sociology, psychology, economics, etc
  • Specific experience in the more complex or specialized methodologies listed above and knowledge of online survey data collection methodologies
39

Statistical Analyst Resume Examples & Samples

  • Provide statistical programming support for multiple clinical research projects or regulatory submissions
  • Produce and/or validate datasets, analyses, tabulations, graphics and listings of clinical trials data
  • Contribute to on-going quality improvement efforts within the project
  • Bachelor's degree or higher degree in statistics, mathematics or related quantitative field. Minimum of 5 years of industry related (Pharmaceutical, Biotech, CRO) statistical programming experience with a Bachelor's degree. At least 3years of industry related experience with a master's degree or above
  • Expertise in the production and reviewing of datasets, analyses, tabulations, graphics and listings from clinical trial data
  • Familiarity with Version 9: Base SAS, SAS/STAT, SAS Macro language and SAS SQL; SAS/GRAPH a plus
  • Proficient with development, documentation, and testing of analysis data and programming code to meet regulatory and company standards
  • Programming experience or knowledge of R/S-plus preferred
  • An excellent knowledge of CDISCs, such as Study Data Tabulation Models (SDTM), preferred
  • Good organizational and communication skills, the ability to work in a collaborative environment, and a desire to improve skills are essential
40

Principal Statistical Analyst Resume Examples & Samples

  • Minimum 5 yrs. of experience with health care data
  • Strong statistical analysis background
  • Proficiency in SAS, SAS macro programming, and SQL
  • Experience with advanced data manipulation techniques required
  • Strong quantitative and qualitative analysis background
  • Experience working with Netezza databases a plus or comparable
  • Proficiency in writing maintainable, supportable, well-documented SAS code
  • Keen attention to detail and high level of accuracy is required to assess the quality of output and investigate potential issues
  • Strong organizational skills and the ability to handle multiple tasks and competing priorities
  • Ability to interact with and respond to varied levels of management, and prioritize multiple tasks to meet
41

Statistical Analyst Resume Examples & Samples

  • Provide statistical programming support for assigned clinical study study/project
  • Coordinate activities of assigned statistical programming team members
  • Ensure the development of programs and use of project standards for all analysis datasets, tables, listings and figures for assigned project with close cooperation with the study/project statistician
  • Has deep project knowledge, including indication relevant issues. Oncology experience is preferred
  • BS/MS/PhD in Statistics, Mathematics, Computer Science or equivalent (of theoretical/technical depth)
  • 5 + years statistical programming with SAS in pharmaceutical or biotech
  • Excellent demonstrated interpersonal, presentation and communication skills
  • Excellent computer skills and database management knowledge
  • Ability to manage multiple issues and meet & negotiate tight timelines
42

Lead Statistical Analyst Resume Examples & Samples

  • Create or contribute to SAP, study/integrated TLF and ADS specs, where applicable
  • Lead, prepare, and coordinate activities of assigned statistical programming team members for programming, validation, and verification of Medical Affairs - study/integrated ADS and TLF, ad-hoc requests, publications, exposure-response analysis, results-posting according to specifications and standard processes
  • Provide mentoring/coaching to other analysts in the development of statistical programs
  • Responsible for providing expertise on global teams that evaluate processes and make suggestions for process and system needs and improvements
  • Collaborate with MA statisticians and the externals resources from a CRO, collaborate, lead and provide guidance to external programmers
  • Generate publications, presentations, and posters in collaboration with Medical Affairs teams
  • Guide and collaborate with Contract Research Organizations to ensure alignment with established data, analysis and quality standards
  • Cooperate with internal and external statistical programmers, statisticians and epidemiologists
  • BS in Statistics, Mathematics, Computer Science, Natural Sciences, Informatics, or related field or equivalent (of theoretical/technical depth)
  • Three + years of experience in statistical programming or statistics in the pharmaceutical or biotechnology industry
  • Experience in the design, planning and evaluation of observational studies and phase IV clinical trials
  • Sound knowledge of SAS
  • Ability to work in multi-disciplinary and multi-cultural teams
  • MS Degree
  • Medical Affairs knowledge
  • Experience in Oncology or Ophthalmology or Hematology or Cardio Vascular is beneficial
  • Experience with other statistical programming languages or tools like R, nQuery, and WinBugs
43

Senior Statistical Analyst Resume Examples & Samples

  • Responsible for compliance with applicable Corporate and Divisional Policies and procedures
  • Ensure internal consistency of output and assess consistency with other activities for the project, as applicable
  • Contribute to the determination of project standards related to output design and statistical programming conventions and independently ensure they are appropriate to support project objectives
  • Responsible for the accuracy of SAS programs by reviewing output, reviewing code, reviewing log files and running all checking utilities. Responsible for determining the scope of the peer review and for ensuring peer review has been completed for all activities for the assigned projects
  • Ensure all SAS programs are imported into the archive system prior to the creation of final output. Ensure all programs are formally archived after the completion of the regulated activity
  • Ensure clarity, accuracy and consistency of case report forms (CRFs), database definitions, and specifications for analysis data sets for individual studies. Review for consistency across studies within a project. Assist with developing CRF and database standards for the assigned projects
  • Ensure accuracy of database quality assurance checks and assess data accuracy and consistency. Develop database checks for routine and non-routine situations
  • Responsible for the creation and accuracy of derivation programs for routine and non-routine situations. Responsible for ensuring peer review has been completed for all derivation programs for assigned projects
  • Responsible for the creation and accuracy of submission data sets and analysis programs for routine and non-routine situations. Responsible for the creation of data definition documents and TOCs. Responsible for ensuring peer review for all submission data sets and programs for the assigned projects
  • Maintain expertise in the use of the UNIX utilities. Independently develop new UNIX utilities. Responsible for formulating proposals for new utilities, as well as, presenting information on existing utilities
  • Responsible for identifying opportunities for productivity improvements and formulating implementation plans. Independently develop new processes
  • Maintain expertise in the use of the SAS Macros. Independently develop new SAS Macros. Responsible for formulating proposals for SAS Macros, as well as, presenting information on existing Macros
  • Represents the Statistical Programming Organization on Study Teams and be adhoc participant on PST teams
  • MS in Statistics, Computer Science or a related field with 6+ years of relevant experience. OR BS in Statistics, Computer Science or a related field with 8+ years of relevant experience
  • High degree of technical competence and communication ability, both oral and written. Competent in SAS programming and Macro development. Pharmaceutical experience with clinical trials, including familiarity with expectations of regulatory agencies, especially FDA and EMEA. NDA/BLA or other regulatory filing experience, including ISS or ISE experience
  • Demonstrated extended understanding of SAS programming concepts and techniques appropriate to the pharmaceutical industry
  • Demonstrated ability to apply SAS programming knowledge to solve problems related to non-routine situations
  • Demonstrated proven ability to interpret statistical analysis plans to develop analysis data set specifications
44

Statistical Analyst Resume Examples & Samples

  • Has deep project knowledge, including indication relevant issues
  • ONCOLOGY EXPERIENCE REQUIRED
  • Ability to manage multiple issues; meet and negotiate tight timelines
45

Statistical Analyst Resume Examples & Samples

  • Writing specifications for SAS programs/macros for study specific analyses or at the standard level
  • Developing, maintaining and validating SAS programs/macros for study specific analyses or at the standard level
  • Plans and participates in programming/QC activities at a study- or standard level to deliver all data analysis outputs
  • Develops the tables, figures and listings (TFL) for the statistical analysis plan (SAP) or additional analysis request (AAR)
  • Reviews and ensures adherence to standards at the study or standard level (e.g., especially in the area of Analysis Data Model (ADaM) and Study Data Tabulation Model (SDTM) datasets, derivation, output definition and implementation)
  • Author or co-author of programming and database specifications and documentation
  • May represent the programming function on the study team
46

Senior Statistical Analyst Resume Examples & Samples

  • 6 years data analysis/report writing or similar experience required
  • Communicates effectively one-to-one, or in small groups
  • Strong organization and problem solving skills
  • Proficiency with SAS or R for programming and data management and analysis
  • A master's degree in biostatistics, computer science, mathematics, epidemiology or a related field or the equivalent combination and experience in statistics, data management and statistical data processing
  • Minimum of three to five years’ experience in research-related programming, data management and statistical data processing; Proficiency with R, SAS and/or Stata
  • Proficiency in REDCap – preferred but not required
  • Proficiency in database design – preferred but not required
  • Knowledge of medical/institutional research procedures
  • Experience with Github- preferred but not required
  • 6 years data analysis/report writing or similar experience
  • Knowledge of programming languages (SQL, PostgreSQL, Java, JavaScript, C++, Python, PHP, Ruby on Rails) preferred but not required
47

Statistical Analyst Resume Examples & Samples

  • Develop customer service training materials
  • Represent the ‘Voice of the customer’ for the feature-set
  • Achieve subject matter expertise in the module or functional area of the product
  • Attain expertise in defining software requirements in an agile development lifecycle
  • Participate in the roadmap planning process – identification & elaboration of themes and key needs
  • Be a change agent for the use of the tool by other statistical analyst
  • Develop and produce statistical support to the team
  • Intuition to solve business problems
  • Ability to be a self-starter and work independently
  • Ability to work as a team player with developers and other analysts
  • Good organizational skills with the ability to adapt and adjust to changing priorities
  • Positive attitude and the ability to work well with others
  • Passionate about technology
  • Pursuer of knowledge
  • Value creation
  • Analytical skills to solve problems
48

Manager, Statistical Analyst Resume Examples & Samples

  • Scope analytics projects including identifying resources and assets needed, determining analysis approach, conducting analysis, and developing execution plans
  • Work independently or collaboratively throughout the complete analytics project lifecycle including data extraction/preparation, analysis and delivery of results/dashboards
  • Pro-actively analyze data to uncover insights that increase business value and impact
  • Support Schwab business partners on a wide range of analytics projects from ad-hoc requests to large-scale cross-functional engagements
  • Approach analytical problems with an appropriate blend of statistical/mathematical rigor with practical business intuition
  • Hold a point-of-view on the strengths and limitations of statistical models and analyses in various business contexts and is able to evaluate and effectively communicate the uncertainty in the results
  • Approach analyses in multiple ways in order to evaluate approaches and compare results
  • Work with self-learning /machine-learning tools generate deeper insights and to deliver a better customer experience
  • Bring a creative approach to quantitative analysis and problem solving and is able to comfortably think outside the traditional methodologies from the academic literature or innovative industry best practices
  • Have a strong desire for planning analytics actions into a roadmap by aligning with business priorities and then be able to take those initiatives to completion
  • Support development of tools and infrastructure to scale operations, increase efficiencies, and improve quality of results
  • Partner with technical and non-technical resources across the business to leverage their support and integrate our efforts
  • B.S. degree in Statistics, Mathematics, Computer Science, Economics, Mathematics, Operations Research, Engineering or similar quantitative field
  • Graduate degree in a quantitative field highly preferred
  • 1-3 years’ experience in an analytical role (consulting to external clients and/or internal business partners)
  • Strong understanding of how analytics supports a large organization including being able to successfully articulate the linkage between business decisions, business objectives, and analytical approaches & findings
  • Programming experience in multiple languages and environments (SQL, Teradata, Oracle, SAS)
  • Experience working with big data environments like Hadoop and using tools such as R and Python
  • Strong experience in creating presentations and sharing with key stakeholders to influence an action, including visualization through Tableau
  • Outstanding oral and written communication
  • Strong interpersonal skills to successfully build long-term relationships with colleagues and business partners
  • Experience in financial services especially in marketing department is desirable
49

Statistical Analyst Resume Examples & Samples

  • Please see information highlighted below
  • 2 years in a research setting
  • Experience with R
  • Masters of Science in statistics, biostatistics, quantitative psychology, or related field
  • Proficiency in R is a plus
  • 2-4 years experience in data management
  • 2-4 years experience in statistical analysis
  • 1-2 years experience in writing code
  • 1-2 year experience managing a team
  • 1-2 years experience mentoring undergrads, masters, and PhD students
50

Lead Statistical Analyst Resume Examples & Samples

  • Create or contribute to SAP, study/integrated TLF and ADS specs
  • Lead statistical programming and validation activities for all clinical study/integrated programming requests in close collaboration with study/integrated statistical team
  • Prepare statistical programming deliverables for submissions and health authority question responses for all regions, HEOR, Medical Affairs, and other functions within the organization
  • Strongly partnering with study/project/compound/integrated statisticians and statistical programming teams to ensure use of compound/project standards
  • Cross-communicate with other functional team members ensuring consistency within study standards and definitions
  • Ensure compliance with end-to-end process within a clinical study
  • Lead the Study Statistical Analyst Team, if assigned
  • Masters of Science or Bachelors of Science in Statistics, Mathematics, Computer Science, Natural Sciences, Informatics, or related field or equivalent (of theoretical/technical depth)
  • Three years of experience in statistical programming (preferably SAS) or statistics in the pharmaceutical or biotechnology industry
  • Demonstrates interpersonal, presentation and communication skills
  • Experience in performing statistical analysis in Oncology clinical trials
  • Experience with integrated data across studies
51

Senior Statistical Analyst Resume Examples & Samples

  • Degree in Statistics, Operations Research, Economics, Social Sciences Computer Science or Math or similar degree with a focus on statistical methodology
  • Programming experience in R and/or python (R strongly preferred) Familiarity with categorical Data modeling experience with basic SQL querying
  • Excellent verbal and written communication skills a must
  • Experience working with varied small teams
  • Ability to autonomously manage multiple projects simultaneously, in a rapidly changing environment
  • Dedication to innovation and continuous improvement
52

Statistical Analyst Resume Examples & Samples

  • Undergraduate degree in statistics, computer science, mathematics or equivalent along with 1-2 years experience in a similar job function or a Masters degree in mathematics, statistics, computer science or equivalent
  • Experience in computer programming and statistical analysis
  • Strong analytical, problem-solving, and decision-making skills
  • Proficient in MS Office, and text editors
  • Experience with statistical packages such R, Python, SAS or SPSS
  • Effective communication skills and ability to be a part of a team
53

Statistical Analyst Resume Examples & Samples

  • Use appropriate modelling techniques to build models designed to solve business problems across TDI
  • Develop, execute, and validate statistical code
  • Review programs to ensure they conform to internal best practice and generally accepted practices
  • Perform appropriate evaluation of model performance
  • Build strong relationships with business partners and present insights to end-user clients as well as other team members at weekly team meetings
  • Broaden knowledge and application of advanced modelling techniques and procedures
  • Deepens knowledge of insurance industry practices in 1 or more disciplines
54

Statistical Analyst Resume Examples & Samples

  • Assist faculty members in teaching statistical analysis and epidemiologic methods skills
  • Experience with survival analysis, regression modeling, data management, as well as strong programming and statistical analysis skills required
  • Experience with IRB compliance
  • Highly proficient in use of Microsoft Office suite, including Excel, Access, PowerPoint
55

Statistical Analyst Resume Examples & Samples

  • Master's degree with an emphasis in Statistics, Mathematics, Economics, Engineering or Operations Research and at least 2 - 5 years of analysis experience; PhD in lieu of experience
  • Advanced skills in Excel with knowledge of spreadsheet functionality including V-look-up, pivot tables, charts, graphing and macros
  • Strong critical thinking and problem resolution skills
  • Proven project management skills
  • Annual gainshare bonus up to 24%-30% of your salary! Progressive rewards each of us with an annual bonus based on company performance
  • Wellness program with discounts & rewards, and onsite gym at our large locations
  • Onsite healthcare at large locations and the standard benefits (medical, dental, vision, 401k)
56

Senior Statistical Analyst Resume Examples & Samples

  • Perform conformance checking of SDTM and ADaM datasets using Pinnacle 21; ensure datasets are in compliance with submission standards
  • BS with 6+ years or MS with 4+ years of SAS programming experience in CRO or pharma/biotech environment
  • Extensive hands-on experience in creating SDTM and ADaM compliant data sets
  • Extensive hands-on experience in derivation of oncology endpoints using criteria such as RECIST 1.1
  • Familiar with statistical methods (categorical analysis, survival analysis, analysis of variance)
57

Statistical Analyst Resume Examples & Samples

  • Develops comprehensive understanding and knowledge base of those business processes related to the marketing database, audience selection, and creative testing and how they impact models used by DTC
  • Ensures standards and consistency of model development processes are met, including compliance with Model Risk Management standards
  • Applies statistical, mathematical, and business skills to proactively identify opportune areas for adding business value
  • Monitors, evaluates, and communicates performance of models developed internally
  • Provides expertise on the impact of data changes made by vendors on model performance including whether recalibration or re-building of existing models is required
  • Acts as the business steward over the lead attribution database; including, providing ongoing data quality improvements
  • Stays connected with progress of projects that impact required attribution keys within the lead attribution database. Demonstrates leadership behaviors with the Company's standards. Develops and maintains a fair and equitable work environment
  • Excellence customer service and presentation skills
  • Bachelor’s degree in Mathematics, Statistics, Economics or Computer Science
  • Fluency in relational databases and excellent knowledge of SQL and/or advanced skills using statistical software – SAS
  • Excellent knowledge of Excel and Tableau
  • Ability to self-motivate, work well within a team environment, and be results driven
  • Understanding of database marketing principles
  • Solid financial and analytical discipline
  • Ability to think strategically, makes sound business decisions, and has good problem solving skills
  • Ability to manage multiple projects, deadlines, and priorities
  • Bachelor's degree in Mathematics or Statistics
  • Expert knowledge of SQL language
  • Expert knowledge of SAS code
58

Statistical Analyst Resume Examples & Samples

  • Develop actionable quantitative models to help marketers understand the effectiveness of marketing campaigns, its ROI and Brand equity impact
  • Lead budget optimization efforts via media-mix modeling
  • Based on the econometrics knowledge and experience, interpret the appropriateness of estimates
  • Maintain and proactively explore ways to enhance the models
  • 2+ years’ data analysis experience (analyzing Online Marketing data)
  • BS/MS or equivalent in quantitative discipline (Statistics, Econometrics, Computer Science, Math, Engineering or Operations Research)
  • Must have advanced Excel skills. intermediate skills in SQL (writing queries/coding) and intermediate PowerPoint
  • Must have strong communication skills and be able to work cross-functionally
59

Statistical Analyst Resume Examples & Samples

  • Perform the required statistical reporting related to various State and Reporting Bureaus
  • Perform the required statistical reporting related to Workers Compensation
  • Research, analyze and understand complex regulatory bulletins, circulars and data requests to complete data submissions
  • Research and identify statistical data from multiple systems to accurately report to regulatory boards and bureaus
  • Process premium edits daily and communicate data issues to be resolved
  • Actively participate in team meetings. Work with team members to achieve common goals and objectives
  • Assist team members in understanding system capabilities and limitations, and offer solutions
  • Understand and maintain various MIS tables
  • Bachelor’s degree in finance or accounting preferred
  • Ability to management multiple priorities and work well under pressure
60

Statistical Analyst A Resume Examples & Samples

  • Bachelor’s degree and a minimum of three years of data/statistical analyst experience, or an equivalent combination of education and experience, are required. Masters’ degree in statistics, biostatistics, or related area preferred
  • Knowledge of SAS/R and other database programming is required
  • Basic statistical knowledge including regression is required
  • Advanced analyses skills, such as, survival analysis, hierarchical models, meta-analysis,
61

Statistical Analyst Resume Examples & Samples

  • Analyzes and distills customer behavior data into salient insights and effectively links these to potential impact/opportunity for the business
  • Provides cross-functional analysis of customers to investigate trends and develop correlations across customer profiles and segments
  • Build out predictive analytics capabilities in the master database using the existing toolset as well as other commercially available tools to be determined. Work with Product Management to assess at a higher level the data in order to understand general patterns or potential predictable patterns and how those patterns can be used to build revenue
  • Bring in new sources of data (based upon product roadmap) into master database: includes working with external teams, internal teams to ensure model is being accurately designed, and ETLs are being updated. Key liaison to internal parties
  • Work to support the design processes, develop and implement solutions with key resources for all automated reporting initiatives
  • Collaborate with team to implement and analyze A/B, Multi-Variate Tests: create the hypotheses and moments of insights that describe user behavior, intent and goal success
  • Find meaningful opportunities to grow the business using segmentation and personalization techniques
  • Advise on data collection best practices to insure existing tagging structure is meeting business needs
  • Understands and demonstrates Essendant Core Values
  • 5+ years of experience bringing online user behavior insights to organizations by delivering clear recommendations to grow the business (B2B a plus)
  • 3+ years of experience using data tracking for web analytics tools
  • 2+ years of experience analyzing very large datasets (experience with R, SPSS or other statistical packages is a plus)
  • Engineering, research, and data science skills such as basic knowledge of statistics. Experience with building logical data models a plus
  • Prior experience with Data Warehousing and analytics tool sets. Strong knowledge of SQL a plus
  • Ability to work with the business and technical teams to define business needs and implement solutions that meet business objectives
  • Customer centric attitude a must
  • Strong interpersonal, verbal, presentation and written communication skills; understands systems process analysis and design
  • Experience in an e-Commerce environment
  • Experience with e-Commerce software including
62

Statistical Analyst Resume Examples & Samples

  • Develops and prepares analytic plans, including statistical design and methodology; executes analysis as specified, creates final reports and presents findings to business customers
  • Recommends and implements efficient means of data collection, management and analysis
  • Retrieves and compiles data from external data feeds and internally constructed databases. Reviews accuracy of data prior to analysis and corrects discrepancies; analyzes data using appropriate software
  • Collaborates with Strategy and Finance department staff, as well as business analysts, project managers, and end-users, to define and refine needs regarding statistical analysis and Business Intelligence (BI) reporting
  • Keeps up-to-date on CMS regulations as they relate to agency initiatives and products; conducts impact analysis on proposed regulations
  • Ensures presentation of metrics and data is consistently defined, formatted, and labeled across end user deliverables and reports
  • Participates in automation of information through dashboard development to track or monitor metrics or data, subsequent to analysis, including validation and testing. Participates in the design and development of new systems that will automate the collection or analyzing of data
63

Statistical Analyst Resume Examples & Samples

  • Develop customer and services training material
  • Completed College Degree
  • 6+ months of statistical experience
  • Knowledge of advanced statistical principles and techniques
  • Intermediate or advanced English speaker (Exclusive)
64

Statistical Analyst Resume Examples & Samples

  • Clarifies and gathers requirements for requested analyses
  • Extracts, cleanses, compiles, analyzes and interprets vehicle production, registration, performance and usage data
  • Evaluates field data to estimate ultimate rates for occurrences of interest
  • Drives selection, recommendation and application of appropriate analytic and statistical methodologies and techniques to answer business questions, test hypotheses, and provide recommendations
  • Completes studies of sample size, study power, confidence intervals and other factors to ensure integrity of data analysis and conclusions
  • Develops reports and presentations summarizing and communicating analytical results to all levels of the organization
  • Collaborates across teams and functions to arrive at actionable insights
  • Coordinates with analysts and other Post Sales Surveillance teams to develop and execute reports and metrics dashboards
  • Supports standard and ad-hoc analytic requests, providing accurate and timely data, analysis and insightful interpretations
  • Identifies opportunities for and leads process improvements and automation in report development and execution
  • Works with other analysts to provide functional training on analytic and statistical methodologies and techniques, as well as data visualization
  • Bachelor’s degree in Applied Statistics/Mathematics or Computer Science
  • 3+ years of work experience in analytics, business intelligence and/or statistical methods
  • Strong analytics and quantitative skills with an attention to detail and accuracy
  • Strong working knowledge of statistical methods and predictive/analytical modeling techniques and practices
  • Experience with data preparation, rationalization, and processing
  • Strong oral and written communication skills with superior organizational skills
  • Ability to perform work effectively as part of a team or independently with little direction
  • Results-driven mindset
  • Working knowledge of data visualization tools
  • Understanding of vehicle technologies including design intent, function and intended performance in the field preferred
65

Actuarial Statistical Analyst Resume Examples & Samples

  • Product design & business case
  • Risk rate development
  • Generation premium and reserve table
  • FSS regulation check
  • Filing Documentation
  • Method of Doing Business
  • Provisions
  • Technical note
  • Profit-test programming (Prophet)
  • Pricing-package
  • Product Approval process
  • Global approval
  • KIDI validation
  • FSS approval
  • PDC approval
  • Setting Product Info for Ai-Gen system
  • Sales material review
  • VoNB generation & benchmark setting
  • Budget
  • Actual
  • Monitoring – MC by each campaign and GA etc
  • Set the Early Warning System
  • Claim A/E & Lapse etc. thru BI system
  • Profit Test assumptions setting
  • Claim Loss ratio A/E
  • Lapse
  • Expense
  • Renewal Policy maintenance
  • Premium s and Reserve generation
  • Re-pricing existing products according to FSS regulation changes
  • Premium & Reserve generation
  • Profit Testing (Prophet)
  • Filing Documentation / Pricing package
  • Product approval process
  • Product Factory maintenance (Ai-Gen)
  • Actuarial Model(prophet) maintenance under global guideline
  • Product Info Disclosure system maintenance under FSS regulation
  • Ad-hoc reporting according to FSS/KIDI/KNIA request
  • Support relevant teams (e.g. UW, Marketing and Reinsurance)
66

Lead Statistical Analyst Resume Examples & Samples

  • Participate in the IND/NDA activities, as needed for assigned project
  • Lead and oversee all statistical programming function deliverables required for submissions to regulatory authorities for assigned projects/studies
  • Participate on global teams that evaluate processes and make suggestions for process and system needs and improvements
  • Provide assistance to junior and external programmers in the development of statistical programs
  • Works in close cooperation with other Clinical Operations departments
  • 5 + years statistical programming with SAS in pharmaceutical or biotech with experience in creating and validating SDTM and/or ADaM data structures
  • Ability to manage multiple issues and meet and negotiate tight timelines
  • Project management or equivalent experience would be an asset
67

Statistical Analyst Intern Resume Examples & Samples

  • You have an excellent knowledge blend of mathematics, probability and statistics experience
  • You have strong understanding of probability distributions and know how to apply this knowledge in solving business problems
  • You have a strong background in modeling and experience working with large data sets
  • You understand how to analyze statistical data and tell a story about this data to internal and external parties
  • You’ve got a confident, positive attitude and recognize the value of the other members on your team
  • Working towards degree in Mathematics, Statistics, or other Quantitative Analytics required, masters strongly preferred
  • Strong understanding of statistical tools / model building and their application to solve business initiatives
  • Programming experience in one or more of the following preferred- SAS,Matlab, R, or WinBugs. Deep enough skill to write queries extract data and pull together concise, detailed reports. Experience with SQL also a strong plus
  • LI-JR1
68

Senior Projections & Statistical Analyst Lacey Resume Examples & Samples

  • An advanced degree in economics, statistics, social sciences or a related field
  • Extensive knowledge of econometrics, statistical and probability theory, and methods
  • Extensive knowledge of estimation and forecast techniques, for example, knowledge of state space time series analysis
  • Advanced analytical skill – able to use logic and reasoning to assess data and information, form logical conclusions, evaluate research options, and make decisions or recommendations
  • Research skill - identify, collect, organize, and document data in ways that make the information most useful for assessment, analysis, investigation, and drawing conclusions
  • Demonstrated ability to program (code) using object oriented, statistical, markup or other languages (for example: R, SQL, C# or JavaScript) to collect, clean and transform data from large databases (big data or internal databases), implement statistical or econometric methods and to develop applications to display study results that are used by end users (e.g., legislators, researchers or general public)
  • Demonstrated ability to plan, design and test surveys
  • Demonstrated ability to document all the steps of a study, including computer programs
  • Demonstrated ability to write technical papers, similar to journal articles, and plain language reports for executives, legislators and general audience
  • Oral communication skill - convey information orally according to the needs of the audience, and receive and understand spoken information
  • Ability to rapidly identify, synthesize and communicate a wide range of information from a variety of sources, perspectives and formats
  • Ability to continuously adjust assignments and personal deadlines to a rapidly changing set of departmental and external priorities and deadlines, and work on a diverse range of projects simultaneously
  • A PhD in economics, statistics, social sciences or a related field
  • Knowledge of principles, theories, and concepts of micro- and macro-economics
  • Advanced knowledge of economic, employment, and labor market information
  • Knowledge of state and federal economic and workforce programs and services
  • Knowledge of economic factors that influence or are influenced by changes in the workforce
  • Knowledge of machine and statistical learning methods
  • Knowledge of R, SQL and a markup language
  • Two years' experience conducting time series analyses
  • Two years' experience providing customer service – build and maintain customer satisfaction with products and services
  • Letter of interest describing how you meet the requirements of the position
  • A writing sample demonstrating your ability to consolidate, summarize, and analyze data into reports or papers. Include the date, authors and proportion of the paper that you authored
69

Assoc Statistical Analyst Resume Examples & Samples

  • Statistical Consulting and Collaboration:* Under supervision, compiles, analyzes and reports statistical data for various projects including, but not limited to manual and computer-aided data abstraction and evaluation, clinical trials, computerized imaging and bioinformatics
  • Assesses relevant literature as well as existing data and evaluates the quality of data used in reports
  • Prepares data for analysis, publication and distribution
70

Statistical Analyst Resume Examples & Samples

  • Familiarity and Experience with at least two of the following
  • Standard Multivariate techniques (regression, correlation, factor analysis, analysis of variance, etc.)
  • Segmentation techniques
  • Trade-off models (MaxDiff, DCM, etc.) – design, analysis and simulations
  • Interest and ability to learn/implement new approaches and techniques
  • Work with project staff to translate statistical concepts into applications
  • Familiarity with standard statistical packages (SPSS, R)
  • Conceptual understanding of standard multivariate approaches (correlation, regression, factor, segmentation)
  • Strong Excel skills, including statistical/logic functions and Visual Basic (VBA) programming experience
  • Data precision: incorporates internal data checks
  • Can ‘automate’ repetitive tasks
  • Data Savvy
  • Can see ‘past the numbers&#8217
  • Willing to apply concepts creatively, rather than ‘by the book&#8217
  • Can apply approaches across studies – ‘if it works here, it ought to work there&#8217
  • Curiosity: Wants to learn, understand and appropriately apply new approaches
  • Critical thinking: ‘if it looks wrong, it is wrong&#8217
71

Statistical Analyst Resume Examples & Samples

  • Infrastructure (extends across applications): Miicrosoft Office (word, Excel, Powerpoint, Access, Outlook), RedCap
  • Programming Languages and Frameworks: SAS, R, STATA
  • Analytical: Critical thinking, business intelligence application design, data mining, data warehouse deign structure,
  • Debugging, decision-making, enterprise architecture, enterprise directory services, judgment, metadata creation and management, and problem solving
  • Project: Collaboration and teamwork, evaluate resources, facilities collaboration, functional documentation, iterative & incremental development, organizational skills, planning
  • Master’s degree in biostatistics, statistics, and/or computer science or related
  • Skill/knowledge of longitudinal and regression modeling with missing data
  • Proven ability to work independently, and in a team environment
  • Proven excellent organization skills, and ability to handle multiple projects simultaneously
  • Demonstrated skill/knowledge in standard statistical software packages (SAS, R, Stata), and database management
  • Demonstrated excellent written and verbal communication skills
72

Senior Statistical Analyst Resume Examples & Samples

  • Work as part of an integrated team of researchers, biostatisticians, programmers and staff to identify testable hypotheses, devise suitable statistical analysis plans, and carry out statistical analyses, summarize and present findings to investigators
  • Summarizes results, prepares presentations and writes technical reports for CORE projects
  • Assists other research professionals with carrying out comprehensive statistical analyses and contributes to publications and presentations in scientific journals and meetings
  • Help investigators in preparation of research grant applications by writing research methods sections pertaining to acquisition, analysis, relevance and validity of data. Integrate the research methodologies of multiple projects into biostatistical analyses
  • Develop and implement relevant statistical programs to incorporate data from multiple projects, work with others to assess validity and reliability of methods, research relevant literature and consults with outside experts and agencies and recommend the appropriate analytic plan for CORE projects
  • Manages datasets in accordance with data use agreements and YNHH CORE data management and security procedures
73

Statistical Analyst Resume Examples & Samples

  • Provide statistical expertise in analyzing data for clinical or basic science research initiatives at the hospital as assigned through the Biostatistics Core
  • Review proposed HSS studies for soundness of study design and statistical methodology
  • Contribute written sections for IRB applications, grant applications, and manuscripts for assigned projects
  • Perform intermediate to expert level statistical queries, analyses, and evaluation
  • Interact with other members of the Core and, when necessary, hospital scientists and clinicians involved in the assigned research projects
  • Stay informed of statistical techniques as applied to musculoskeletal research issues by reading journals and/or attending courses/programming meetings
  • Develop collaborative relationship with hospital researchers
  • Peer review and suggest changes or improvements to existing analytic code (SAS, SPSS syntax, or R), analytical and study methods, and reports for validity and limitations, as performed by other members of the Core
  • Build and improve on Macros to make data processing and presentation more efficient
74

Statistical Analyst Resume Examples & Samples

  • Completes Validation Engineering related tasks on more complex automotive
  • Minimum 1+ years experience if no relevant Bachelor's degree
  • Experience coordinating and reporting projects
  • 5+ years Experience coordinating and reporting projects within the DV/PV
75

Statistical Analyst Resume Examples & Samples

  • Knowledge of statistical survey methodology gained through work experience and/or education
  • Experience with data processing including data entry, data editing, and quality assurance
  • Ability to organize data
  • Customer service experience exhibiting exceptional customer service skills to include a proven ability to assess and respond to customer needs while managing multiple tasks and deadlines
  • Strong effective oral and written communications skills
  • Knowledge of occupational safety and health programs
  • Experience with government research programs
  • Coursework with major studies in economics, mathematics, statistics or public administration and/or experience in a survey research program, preferably dealing with workplace injuries/illnesses
  • Verifiable fluency speaking, reading and writing Spanish
76

Statistical Analyst Resume Examples & Samples

  • Designs, develops, and manages complex data models (conceptual, logical, & physical) in multiple formats (relations, start/snowflake, etc) leveraging MS SQL Server technologies including SSIS, SSAS
  • Ability to manage, clean and transform data from primary and secondary data sources – creating mapping specifications/requirements for use in ETL development
  • Ensure adherence to dimensional modeling principles and best practices to ensure data quality, performance, and scalability
  • Deploy advanced statistical techniques in support of analytical deliverables to clients
  • Collaborate effectively with the Insights and Discovery team to meet project deadlines and exceed client expectations
  • Diligently perform quality assurance and testing according to risk assessment guidelines to minimize operational, reputation, and legal risk
  • Act as second level support to troubleshoot and resolve technical issues with production data models
77

Statistical Analyst Resume Examples & Samples

  • Four years data analysis/report writing or similar experience required
  • Master’s degree in biostatistics, statistics or epidemiology; or equivalent level of education or experience
  • Proficiency with SAS programming and data management and analysis
  • Commitment to writing clean, well-documented code
  • Ability to work independently to efficiently accomplish specific responsibilities
  • Proficiency with R and/or Stata
  • Proficient in RedCap – preferred but not required
  • Proficiency in R markdown, knitR, or LaTex – preferred, but not required
  • Working knowledge of medical/research terminology
78

Senior Statistical Analyst Resume Examples & Samples

  • Demonstrated ability to build complex financial models needed to understand issues at a detailed level and forecast impacts of change
  • Ability to communicate complex concepts and output to non-experts in both a written and verbal manner
  • Exceptional business insight and strategic orientation
  • Critical thinking skills in formulating hypotheses, interpreting results, and being able to make educated guesses when data may be sparse or unavailable
  • Intellectual curiosity and ability to handle high levels of ambiguity
  • Ability to anticipate problems and opportunities and the initiative to pursue solutions
79

Statistical Analyst Resume Examples & Samples

  • Work with a Senior Analyst and subject matter experts (SMEs) to express marketing and media questions as manageable analytical problems leading to valuable and actionable insights
  • Perform exploratory data analysis and statistical modeling in support of ongoing lines of research and fulfill ad hoc requests
  • Use a mix of data types (e.g., aggregate metrics, consumer-level data) employing creativity and flexible problem solving skills to address a variety of marketing questions
  • Plan, execute and effectively communicate the results of analyses
  • Solid training and background in statistical/mathematical modeling: some mix of experience in linear modeling, design of experiments, consumer segmentation, forecasting, or other applicable methods
  • Proficiency in SAS (preferred) or SPSS as well as Microsoft Suite (Excel, PowerPoint, Word)
  • Bachelor’s degree minimum. Discipline flexible but role requires strong quantitative ability
  • One to three years of experience in applied statistical analysis using SAS or SPSS
80

Senior Statistical Analyst Resume Examples & Samples

  • Custom Scorecard models to recommend accept/reject decisions
  • Monthly credit loss forecasting models or tools
  • Pricing-related models or tools
  • Vintages
  • Loss Severity
  • Delinquency
  • Bankruptcy
  • Repossessions
  • Recovery Liquidation
  • Macroeconomic Monitoring and Analysis
  • Business process change impacts
  • Credit risk loss forecasting tasks (non-model related)
  • Seven to ten years of credit risk management experience
  • Three or more years of managerial/supervisory experience
  • SAS Programming (including macros)
  • Data Analysis in SAS and Excel
  • Statistical Modeling (e.g., Logistic Regression, Survival Analysis)
  • Verbal/Written Communication of Technical Results/Analysis
  • Organizational and Project Management Skill (e.g., shifting prioritization)
  • Quantitative Master’s Degree (e.g., Business Analytics, Economics, Finance, Stats)
81

Informational & Statistical Analyst Resume Examples & Samples

  • Inputs, edits and verifies files, data and job runs in order to establish and ensure accuracy of files and databases
  • Extracts, compiles and manipulates data from data base systems in order to produce programs and reports to fulfill special requests
  • Composes, edits and maintains complex programs in order to prepare specially requested information from other units and for in-house purposes
  • Verifies and analyzes data in order to ensure accuracy of figures and resolves inconsistencies and discrepancies in data by comparing with historical data
  • Organizes, prepares, edits and maintains procedure manuals, information packets and data collection forms
  • Creates and maintains labeling program utilized in initial mailings of data
  • Identifies problem areas, initiates contact with respective units and answers questions in order to resolve problems in completing information requests
  • Creates tables, calculates figures and generates graphs in order to produce final reports
82

Statistical Analyst Resume Examples & Samples

  • This is an entry level position (0 – 5 years)
  • Strong computer skills including Excel, SAS, R, or other analytical software
  • Good communication (oral and written) and interpersonal skills
  • Ability to interact with internal clients
83

Cdoc Statistical Analyst Resume Examples & Samples

  • Publish periodic departmental reports and bulletins by designing, organizing, and maintaining research databases comprised of departmental data
  • Use Statistical Package for Social Science software (SPPS) to conduct statistical analysis of data using inferential statistics, interpret complex datasets and statistical output, and identify and report statistical trends of the CDOC and parole population in written and graphical formats
  • Collaborate with other state and federal agencies to routinely report and securely transfer electronic offender data for official reporting
  • Employ the OPA reporting system to select the necessary offender data and conduct statistical analysis in order to respond to requests for information about various population subsets
  • Complete ad hoc research requests and surveys by interpreting data questions; collecting data from sources such as computer reports, online programs, and published literature; and conducting analysis using inferential statistical techniques
  • Report the findings based on judgment of the results of the inferential techniques and ensure that the requesting party understands and interprets the findings correctly
  • Maintain OPA reporting system
  • During legislative sessions, analyze the fiscal impact to the department of proposed legislation and create a summary of the findings
  • Query offender data systems by downloading necessary data and building large datasets from relational databases
  • Report population trends by analyzing data for forecasting and reporting the impact of decisions
  • Independently develop and complete a range of analysis and reports using inferential statistical measures in response to department data requests
  • Professional Work Experience Defined
  • Uniquely acquired through an intense education or training regimen at a recognized college or university
  • Equivalent to the curriculum requirements for a bachelor's or higher degree with major study in or pertinent to the specialized field and
  • Continuously studied to explore, extend and use additional discoveries, interpretations, and application and to improve data, materials, equipment, applications, and methods
  • Experienced with software packages including Microsoft Office and statistical analysis tools
  • Experience in applied statistics including use of advanced statistical software package
  • Knowledge of and experience in working with relational databases (Access, Oracle, Informix or others)
  • Detail-oriented and highly accurate
  • Excellent reasoning and analytical and problem solving skills
  • Ability to handle a large workload
  • Must be 21 years of age
  • Possess a valid driver's license
  • Possess a High School Diploma or GED
  • Have NO felony convictions, to include any actions defined in 5 U.S.C. 301; U.S.C. 509, 510; 42 U.S.C. 15601-15609. The CDOC shall not hire nor promote anyone who may have contact with an offender who has engaged in sexual abuse which includes acts, activity, and sexual behavior, in a prison or other institution as defined in 42 U.S.C. 1997; or has been convicted of engaging or attempting to engage in sexual activity in the community facilitated by force, overt or implied threats of force or coercion, or if the victim did not consent or was unable to consent or refuse, or has been civilly or administratively adjudicated to have engaged in the activity described in the above paragraph. The agency shall consider any incidents of sexual harassment in determining whether to hire anyone who may have contact with offenders or residents
  • Successfully complete the Department of Corrections Basic Training upon hire
84

Cdoc Statistical Analyst Resume Examples & Samples

  • Manage research and program evaluation studies in order to determine program needs, processes, and outcomes by directing others to review referenced literature and data from other correctional systems, develop study designs, gather data elements, administer surveys, analyze data, interpret findings, write reports, and disseminate findings
  • Coordinate research activities among project staff, including training and overseeing university interns, as necessary, to complete studies and directly influence management decisions on the direction that programs and policies should take
  • Extract data from database management information systems in order to conduct research studies, respond to departmental data requests, and strengthen treatment programs
  • Oversee quality assurance procedures in order to meet research and program reporting needs
  • Present results and findings of assessment studies with administrators and operations staff and assist them in making practical decisions regarding use and implementation
  • Develop project management plans that coordinate research activities among team members and ensure that project timelines are met
  • Direct database development and management activities to ensure the accuracy of information
  • Provide research design and statistical consultation in order to strengthen methodology of internal evaluations and to safeguard against poor methodology by external evaluators
  • Assist researchers in understanding differences between various methodologies and statistical analysis as they relate to the research questions under investigation
  • Serve as evaluation liaison to department programs and offer guidance on research and data issues in order for programs to implement best practices
  • Advise department on opportunities for and obstacles to research as well as research findings and implications that may impact the department
  • Direct the development and validation of assessments by reviewing referenced literature, developing criterion and predictor variables, creating and testing items, consulting with subject matter experts, verifying the assessment's content validity, and designing studies to examine reliability, validity, and norms
  • Partially accountable as work lead for the work product of assigned staff, duties inclusive of assigning tasks, monitoring progress and workflow, checking the product, scheduling work, and establishing work standards
  • Ability to independently conduct research and evaluation studies and assess existing database systems and create research databases
  • Experience in applied statistics using advanced statistical software package
  • Experience querying relational databases
  • Ability to create a complex set of research databases
  • Exceptional interpersonal/customer service skills
  • Ability to possess flexible work and leadership style to maximize team performance
  • Significant critical thinking, analytical and problem solving skills
  • Highly effective organizing, planning and prioritizing skills
  • Keen ability to multi-task and demonstrate flexibility
  • Strong initiative and self motivation
85

Statistical Analyst Resume Examples & Samples

  • Write statistical programs for use in creating analysis datasets, tables, listings, and figures
  • Review analysis plans for appropriate methods
  • Program study analyses and review study results; and
  • Communicate the project requirements for cleanup and data capture to ensure the key study variables are suitable for analysis
  • Master’s Degree and SAS and / or statistical programming experience
  • Knowledge of databases and data management process; and
  • Knowledge of statistical methods commonly used in pharmaceutical clinical trials
86

Statistical Analyst Resume Examples & Samples

  • BSc and MSc or Phd in Statistics, Mathematics, Operational Research, Econometrics or related science field from a well-established University
  • Knowledge of advanced data analysis techniques that include customer segmentation, propensity modelling, optimization techniques and predictive modeling
  • Familiarity in SAS, R programming or SQL; Proficiency in any of those will be considered as a strong asset but it is not a prerequisite
  • Experience in analytical manipulation and interpretation of large databases will be considered as a strong asset but it is not a prerequisite
  • Demonstrated ability to think strategically; turn consumer behavior data into effective strategies and drive results
  • Exceptional analytic and critical thinking skills, writing skills, communication skills, consulting skills, and ability to work within a team
  • Ability to work in an environment with hard deadlines, quick turnaround, and changing priorities required
  • Experience in international markets is a plus
  • The candidates will be participating in multinational project teams
  • Fluency in English is required
  • All male candidates should have fulfilled their military obligations
87

Senior Statistical Analyst Resume Examples & Samples

  • Design outcomes research studies, economic models, and predictive and advanced analytics, including multiple regression, logistic and polychotomous logistic regression, survival models, hierarchical linear models, regression trees, and other complex statistical models
  • Assist in the evaluation design and statistical approach of proposals for new research projects
  • Participate in planning and application of new data science methods, such as predictive analytics or machine learning, to enigmatic problems in survey and policy research
  • Maintain an industry presence through publishing in peer-reviewed journals and presenting at conferences
  • Provide technical guidance to less senior staff
88

Statistical Analyst Resume Examples & Samples

  • Develop Regression/Tree based models to support the database marketing efforts of co-op members and clients
  • Provide analytical services to clients and I-Behavior staff on an ongoing basis
  • Participate in the development of protocols and systems for the processing of model development, scoring and deployment within the ‘rules’ of the co-op environment
  • Develop and execute quality assurance procedures related to all aspects of the duties pertaining to providing analytic services
  • Interact with Client Services and Programming staff, ensuring accuracy of modeling applications
  • Some experience as a data analyst/modeler, preferably dealing with large amounts of transaction data
  • Masters in Applied Mathematics, Statistics or Econometrics and/or five years work experience required
  • Experience with SAS or comparable statistical software required
  • Experience/knowledge with experimental test design for comparing campaign tests results and the ability to recommend sufficient universe sizes for testing purposes