Consultant, Data Analytics Resume Samples

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EM
E Mraz
Ellsworth
Mraz
406 Heather Station
Phoenix
AZ
+1 (555) 704 5429
406 Heather Station
Phoenix
AZ
Phone
p +1 (555) 704 5429
Experience Experience
Phoenix, AZ
Consultant, Data Analytics
Phoenix, AZ
Aufderhar Inc
Phoenix, AZ
Consultant, Data Analytics
  • Assist in developing detailed documentation and specifications, including business process documentation, SOPs, client data scorecards
  • Perform analyses and quantitative modeling to support strategic, tactical, and operational decisions in the following areas
  • Independently create presentations for clients; attend, support and present at client meetings, independently or with senior support
  • Work willingly and effectively with others in and across the organization to accomplish team goal, both internally and externally
  • Lead projects and initiatives with indirect oversight over analysts and communication with clients
  • Act as internal consultant, serving National Logistics Center and corporate Pharmaceutical teams
  • Analyze secondary data and desk market research (quantitative and qualitative) to identify key findings and trends
Dallas, TX
Data Analytics & Visualization Consultant
Dallas, TX
Gibson LLC
Dallas, TX
Data Analytics & Visualization Consultant
  • Collaborate with department leadership to identify and define metrics that drive performance and develop dashboards
  • Develop a process for continuous feedback and improvements of products
  • Perform Quality Assurance on developed solutions
  • Develop and document technical specifications, design documents, and environment for product development
  • Focus on program and project management and software delivery lifecycle metrics
  • Improve cycle time to produce insights through data analysis and visualization
  • Develop Data Visualizations and Reporting
present
Dallas, TX
Senior IT Data Analytics Consultant
Dallas, TX
Ebert, Koch and Spencer
present
Dallas, TX
Senior IT Data Analytics Consultant
present
  • Documenting issues, resolutions and programming steps pertaining to the implementation process and client data
  • Processing and analyzing health care data using Optum Impact standard warehouse methodologies and software
  • Partnering with product team to determine gaps in current source to target mapping, C360 gatekeeper for mapping hand over
  • Develops pioneering approaches to emerging industry trends
  • Developing source to target data mapping in big data technologies to integrate data from source systems and provision to the Consumer 360
  • Working with team members on managing the data implementation process from start to finish for clients
  • Reviewing and analyzing client data via quality control processes for anomalies or other issues which could compromise product functionality
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
James Madison University
Bachelor’s Degree in Computer Science
Skills Skills
  • Adaptability and an ability to learn quickly and apply new knowledge
  • Strong knowledge in MS Excel, MS Access, MS PowerPoint and Proficiency in SAS, Excel VBA and SQL
  • Knowledge of professional/trade associations, key people and companies
  • Good project management skills and strong business acumen and understanding of sales & marketing business principles
  • Excellent project management capabilities so that deadlines are met while retaining consistent, high quality outcomes
  • Ability to think creatively and strategically, and Demonstrate analytical, interpretative and problem-solving skills
  • Excellent communication, interpersonal and team-working skills
  • Knowledge of key issues and current developments in the pharmaceutical and healthcare industries
  • Prior healthcare data experience is a plus: National and sub-national data (Physician, Patient, claims and epidemiology)
  • An avid interest in the healthcare analytics and data; understanding of the healthcare market in US
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15 Consultant, Data Analytics resume templates

1

Consultant Big Data & Analytics Resume Examples & Samples

  • Basic knowledge in Big Data technologies, e. g. Apache Hadoop or NoSQL
  • Basic knowledge in Big Data vendor landscape
  • Basic knowledge in Traditional Data Warehousing and/or BI
  • Basic knowledge in Big Data and Business Analytics use cases
2

Data Analytics Market Consultant Resume Examples & Samples

  • Master’s degree, and/or PhD in related field: Healthcare, Statistics, Computer Science
  • Highly advanced background and skills sets in, but not limited to: SAS, SQL, Statistics, Modeling/Inferencing, working with large data sets and ability to merge and manipulate for advanced analyses and reporting. Comprehensive knowledge of all Microsoft Office applications, with emphasis on Excel – complex formulas and macros
  • Familiarity with Humana’s operating systems
  • Prior work history in a fast paced sales environment or market office
3

Data & Analytics Capital Markets Senior Consultant Resume Examples & Samples

  • Ambition to build / develop a career in advising Corporate and Investment Banking clients
  • Strong interest and commitment to developing and delivering leading edge solutions to industry clients
  • Ability to develop strong client relationships
  • Ability to develop and deliver high quality output against stated project objectives and meet tight deadlines
  • Ability to work under limited supervision (‘self-starter’) in unstructured environments
  • System implementation
  • Data Mapping
  • Data architecture
  • Data warehousing
  • Data governance, lineage, quality and sourcing and associated tools such as Collibra, AbInitio, Trillium
  • Data Analytics toolsets such as SAS Analytics, IBM Watson, Spotfire or Tableau
  • Big Data technologies (such as Hadoop)
  • Package selection
4

Advanced Analytics Enablement Big Data Senior Consultant Resume Examples & Samples

  • AAE Big Data Senior Consultants will be responsible for designing and implementing strategies, architectures, ingestion, storage, consumption and delivery processes for complex, large-volume, multi-variate, batch and real time data sets used for modeling, data mining, and research purposes
  • Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the organization
  • 3+ years of relevant technology architecture consulting or industry experience
  • At least 1 year hands-on working experience with one or more of the following Big Data technologies: Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari, MapReduce and R including commercial distributions of HDFS (Hortonworks, Cloudera, Pivotal HD, MapR)
  • At least 1 year experience in Information delivery, Analytics and Business Intelligence based on data from hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses
  • Willingness to travel to client locations (80%)
  • Cloudera certification
  • Experience designing and implementing reporting and visualization for unstructured and structured data sets
  • Knowledge of data, master data and metadata related standards, processes and technology
  • Experience working with multi-Terabyte data sets
  • Experience with Hadoop Cluster Administration
  • An advanced degree in the area of specialization is preferred
  • Develop and manage vendor relationships
  • Lead workshops for client education
  • Ability to define how an enterprise information system will align with the organization's business and strategic objectives
5

Big Data Analytics Business Consultant Resume Examples & Samples

  • Work with data scientist to identify data needs, sources, and structure to support client issues problem solving
  • Track and communicate project risks
  • Proactively broaden and deepen client relationships by managing client relations with senior-level clients
  • Ten years of data analytics experience in a professional services firm or similar environment
  • Demonstrated project management skills as well as the ability to efficiently manage teams and resources
  • Detailed knowledge of operations in one or more industries and a strong understanding of business processes, including business operations, business delivery models and business revenue models
  • Bachelors degree in a technical or quantitative field from an accredited college or university; Masters or MBA degree preferred
  • Client consulting skills including ability to build relationships with clients, potentially with C-level executives
6

Data Analytics Business Consultant Resume Examples & Samples

  • Deliver client analytics projects as part of broader team of data scientists and industry/solution professionals by working with the appropriate technical resources to transform client problems into technical problems
  • Work with data scientists to identify data needs, sources, and structure to support client issues
  • Establish and successfully execute engagements against financial targets, such as rate per hour and budgets, managed hour, and profitability
  • Minimum five years of data analytics experience in a professional services firm or similar environment
7

Data Analytics & Visualization Consultant Resume Examples & Samples

  • Collaborate with department leadership to identify and define metrics that drive performance and develop dashboards
  • Focus on program and project management and software delivery lifecycle metrics
  • Identify source systems and processes that generate the required data to effectively report on metrics that matter
  • Complete data analysis from source systems and aggregate for data visualization and reporting
  • Develop and document technical specifications, design documents, and environment for product development
  • Develop Data Visualizations and Reporting
  • Use the right tool for the job (Tableau, Excel, PowerPoint, etc.)
  • Perform Quality Assurance on developed solutions
  • Develop a process for continuous feedback and improvements of products
  • Conduct research on Program Management best practices and metrics for scaled agile, waterfall, and mixed delivery methods
  • Implement best practice processes as assigned by program management leadership
  • Improve cycle time to produce insights through data analysis and visualization
  • Transition completed products to operational support teams
  • Bachelor Degree in Information Technology, Business Administration, Finance or Data Science
  • 3+ Years of Report Development and Design, Focus on end Consumer Needs
  • 1+ Years of Experience in Tableau Desktop Developer and/or Server Technologies
  • 2+ Years of Experience in Relational Database Query and SQL
  • 1+ Years of Datameer, Data Lake and Hive Technologies
  • Expertise in Excel (Pivot Tables, VBA, Functions, Formulas, Charts and Forms)
  • Excellent Communication Skills (both written and verbal); demonstrated experience and comfort presenting to IT and business executives
  • Track record of producing comprehensive and comprehensible reports and presentations for Executives and Leaders
  • Attitude that fosters teamwork and supports organizational goals
  • Demonstrate assertive process / project management ability
  • Proven Consultative Skills
  • Ability to manage multiple competing priorities and deadlines
  • Proven analytic skills evidenced by the ability to quickly aggregate data and analyze information and draw conclusions
  • Knowledge of Software Development Methodologies (Waterfall or Agile)
  • 2+ Years of Program and Project Management Experience
  • Program Management Professional or Equivalent Agile Program Management Certification
  • 1+ Years of Experience in Unstructured Data Query
  • 1+ Years of Process Documentation (Visio or Equivalent)
  • 1+ Years of Policy and Procedure Development, Design and Implementation
  • High Proficiency in Word, PowerPoint
8

Analytics Consultant, Data-driven Analytics Resume Examples & Samples

  • Supporting lead generation
  • Supporting the client relationship - face to the customer
  • Being a subject matter expert, with strong analytical background with an industry or practice focus
  • Developing analytics concepts and strategies for the clients solving their challenges
  • Being the link between the Data Lab team that owns the actual analyses, and the client
  • Being an expert in the data driven space
  • Driving successful, data-agnostic analytics services, by
9

Data Sciences & Business Analytics Consultant Resume Examples & Samples

  • Lead the development of economic models to dissect customer sentiment and its impact to buy-behavior along the customer journey steps
  • Develop problem statements, establish/test hypotheses, present findings both at the sample level and aggregated for a holistic population, articulate impact of drivers to customer economic value
  • Lead propensity modeling analyses for the commercial and enterprise customers, integrate impact into R&Os for future incremental economic value
  • Co-lead the development of the annual customer experience / NPS goals (net promoter score) across the regions and functions
  • Support the design and rollout of differentiated and valued customer programs (e.g. high-touch, DellAdvantage, etc.)
  • Strong skills to synthesize large volumes of qualitative and quantitative data, and communicate observations to the business teams
  • Be conversant with strategic trade-offs and profitability dynamics for the transactional and relationship businesses
  • Conduct pilots as required that measure viability and execution capabilities of end-to-end customer centric program
  • Establish strong relationships with sales, marketing, product groups, service, operations and finance and be a thought leader to take Dell's CCO to the next level
  • Lead/support special projects and perform other duties as required
  • 5+ years of prior work experience in business analyses and data sciences fields, preferably in consumer and enterprise technology sector
  • Ability to work cross functionally, so preference is for an individual that is not an expert in one area but has had roles across the value chain
  • Confidence to take unconventional positions when supported by fact and experience
  • Excellent track record of handling ambiguity well
  • Strong communications and presentation skills
10

Consultant, Data Analytics Resume Examples & Samples

  • Knowledge and understanding of the fundamental processes of pharmaceutical commercial business, their interaction, and the impact of external/internal influences on decision making, growth and decline
  • Working experience in Reporting analytics, APLD analytics and SFE in healthcare industry is preferable
  • Effective communication skills (written and verbal communication), project management, and time management skills
  • Strong knowledge in MS Excel, MS Access, MS PowerPoint and Proficiency in SAS, Excel VBA and SQL
  • Prior internship, project work, and/or working experience in any of the following: market research, marketing insights, marketing analytics, multichannel marketing, consumer marketing, statistics, predictive modeling, targeting, segmentation, promo response studies, APLD, primary market research, technology & applications, healthcare IT, managed markets, epidemiology, HEOR and data mining
  • Undergraduate or Masters degree in life sciences/Statistics/Economics/Marketing MBA with 3-6 years of relevant experience in Data Analytics in healthcare industry
  • An avid interest in the healthcare analytics and data; understanding of the healthcare market in US
  • Good project management skills and strong business acumen and understanding of sales & marketing business principles
  • Willingness to travel at minimum 80% overnight
11

Senior Data Analytics Specialist / Consultant Resume Examples & Samples

  • Meet, develop and maintain strong relationships with stakeholders and clients
  • Understand the client need/demand and agree with Willis Towers Watson Associate the detailed analysis required and the frequency of reporting
  • Data Analytics, reviewing data for integrity, manipulating/summarizing data, data mining, report construction and formulation of the final statistical analysis product
  • Work collaboratively and agree on intermediate milestones, timelines and completion of the project Monitor and assist in the process of producing the outputs
  • Check the report outputs against the requirement specification
  • Provide finished reports to the Willis Towers Watson Associates for onward transmission to the client
  • Review the end to end process to identify if any improvements can be made
  • Provide solutions and services regarding risk management information services (RMIS) and third party administrators systems
  • Assist with the growth and innovation of data analytics within the practice and Willis Towers Watson North America (WNA)
  • Bachelor’s degree in a related field or other analytical course work
  • Minimum 3 years’ related experience
  • Proficiency in Access, Excel, etc
  • Understanding of the insurance industry - knowledge of terms, codes, procedures and processes
  • Strong familiarity with insurance carrier and TPA systems
  • Strong analytical skills and problem solving skills (Ability to analyze and report on data)
  • Should have excellent organizational skills
  • Programming experience, ability to learn programming is beneficial
12

Senior Consultant, Data & Analytics Resume Examples & Samples

  • Identifying, acquiring, synthesizing, mining and analyzing relevant data
  • Identifying the relationships among multiple sources and types of data, and organizing this information to facilitate effective data analysis
  • Designing and implementing complex financial database models to generate meaningful statistics and resolve disputes
  • Analyzing and interpreting historical financial, operational, and transactional data
  • Maintaining detailed work-paper records of assumptions, methodologies, and information sources utilized during the performance of all analytical tasks
  • Performing the day to day activities of projects including interaction with client personnel, FTI team members, and professionals from other firms involved in the engagement
  • Preparing written analyses, reports, presentations, and interrogatories for third parties on the project scope and/or results of activities
  • Minimum of a Bachelor’s Degree
  • 3+ years of experience in finance, accounting, or economics with an emphasis in complex problem solving, data analytics, or related competencies
  • Experience working in a team oriented environment
  • Possess strong quantitative and qualitative research and analytical skills
  • Able to work in a team as well as independently
  • Able to demonstrate excellent communication (written and verbal), mathematical, and organizational skills
  • Able to adapt quickly in handling multiple/evolving tasks as a result of new engagements and/or re-prioritized deadlines
  • Possess strong interpersonal skills
  • Highly motivated, hard-working, eager to learn, willing to travel, and able to motivate others
  • Able to utilize technology to solve complex problems
  • Able to effectively develop and execute work plans
  • Able to effectively manage multiple staff and projects
  • Able to provide quality assurance and supervision
  • Able to regularly communicate status (to both internal and external clients)
  • Able to produce high quality and/or final work product under strict deadlines
  • Proficient in SQL, PL SQL, Oracle, VBA, and / or other ETL technical skills
  • Proficient in financial, accounting, and / or other quantitative skills
  • Proficient in analyzing data within relational database systems such as MS Access, MS SQL Serve
  • Familiarity with tools such as Tableau, APEX, .NET, Java, VBA, and SharePoint
  • Familiarity with common software packages; such as PeopleSoft, SAP, Great Plains, JD Edwards, Hyperion and Oracle Financials
13

Claims SIU Data Analytics Consultant Resume Examples & Samples

  • Bachelors degree in related field preferred
  • Applies moderate knowledge of insurance policy, coverage, and regulation
  • Applies moderate knowledge of claim processes, policies, procedures, claim systems, coverage, liability, damage estimating, and/or settlement, and adherence to applicable legal compliance standards
  • Applies moderate industry knowledge to discipline practices, including best practices, to support the business unit
  • Applies moderateknowledge of computer applications such as Excel, Business Objects, Access, PowerPoint, Tableau,etc
  • Applies moderate knowledge of analytical procedures to reconcile, manipulate, and recognize patterns of data
  • Applies moderate knowledge of problem solving and preparation of complex reports for analysis
  • Applies moderate ability to leverage learned technical skills in support of team objectives
  • Applies advanced negotiation and/or arbitration skills
  • Applies advanced conflict management and problem resolution skills in managing internal and external customer relationships
  • Applies advanced problem solving skills to continuously improve business outcomes
  • Ability to assist field leadership in achieving business unit objectives
  • Ability to investigate, evaluate and settle complex claims
  • Provides advanced individual decision making within authority limits
  • Works within complex assignments requiring knowledge in breadth and/or depth in area of expertise
14

Senior IT Data Analytics Consultant Resume Examples & Samples

  • Bachelor's degree or equivalent in Computer Science, Data Science, or related field
  • 6 years related, progressive, post-baccalaureate experience. Will accept experience gained concurrently
  • Must have demonstrated experience with (1) Implementing business intelligence solutions in data warehouses and providing decision support systems; (2) participating in data governance and ensuring data integrity, quality, and correctness; (3) developing scalable and customizable reporting processes and querying data sources to conduct analysis and detailed data profiling; (4) performing gap analysis during sprints, releases, and upgrades; (5) end-to-end data warehousing and data flow in various environments, including Teradata, Oracle, Big Data, Hadoop and Unix; and (6) experience with Machine learning, quantitative and qualitative analytics, data mining, data modeling, statistical analysis and visualization tools
15

Senior Consultant, Data & Analytics Resume Examples & Samples

  • 2+ years of experience in finance, accounting, or economics with an emphasis in complex problem solving, data analytics, or related competencies
  • Able to adapt quickly in handling multiple evolving tasks as a result of new engagements and/or re-prioritized deadlines
  • Able to effectively execute work plans
  • Able to effectively manage multiple staff and project responsibilities
  • Able to provide quality assurance
  • Able to regularly communicate project/work stream status to both internal and external clients
  • Able to produce high quality work product under strict deadlines
  • Proficient in SQL, PL SQL, Oracle, VBA, and / or other technical skills related to data extraction, transformation and loading
  • Possess a general understanding of financial and accounting principles and / or other quantitative skills
  • Proficient in analyzing data within relational database systems such as MS Access, MS SQL Server
  • Familiarity with tools such as Tableau, APEX, .NET, Java, , Python and SharePoint
16

Finance Data Analytics Consultant Resume Examples & Samples

  • Advanced Analytics tools (including SPSS Statistics, SPSS Modeler, Watson Analytics)
  • Coding knowledge (including SQL, R, Python)
  • BI tools (including Cognos Analytics)
  • Bachelor’s degree in Analytics, Statistics, Finance, or closely related program
  • 2 years professional analytical experience
17

Senior Consultant, Big Data Analytics Resume Examples & Samples

  • Lead and work on ad hoc analysis requests for the US Pharma distribution ops business
  • Engage with the client to understand analysis requirements, coordinate the analysis with the second analyst offshore and communicate the results back to the client
  • Extract data from Hadoop systems or mainframes or other systems to do quick data analysis. Perform some data prep, basic scenario analysis, support any prototyping runs to test out basic models
  • Create slides based on any specific secondary market research, as required
  • 3 to 5 years of experience in Advanced Analytics and Predictive modeling
  • Good experience in Data analysis and Modeling in Big Data environment
  • Good experience in Client Engagement and Project Management
  • Good experience in Hive is must
  • Good experience in R/Spark/Python
  • Understanding of Tableau (good to have)
18

Senior Consultant, Data & Analytics Resume Examples & Samples

  • Minimum of a Bachelor’s Degree 2+ years of experience in finance, accounting, or economics with an emphasis in complex problem solving, data analytics, or related competencies
  • Able to demonstrate excellent communication (written and verbal), mathematical, and organizational skills Able to adapt quickly in handling multiple evolving tasks as a result of new engagements and/or re-prioritized deadlines
  • Possess strong interpersonal skills Highly motivated, hard-working, eager to learn, willing to travel, and able to motivate others
  • Able to utilize technology to solve complex problems Able to effectively execute work plans Able to effectively manage multiple staff and project responsibilities
  • Able to provide quality assurance Able to regularly communicate project/work stream status to both internal and external clients
  • Able to produce high quality work product under strict deadlines Proficient in SQL, PL SQL, Oracle, VBA, and / or other technical skills related to data extraction, transformation and loading
19

Consultant, Data & Analytics Resume Examples & Samples

  • Maintains knowledge on current and emerging developments/trends in data management and statistical analysis, assesses the impact, and collaborates with management to incorporate new trends and developments in current and future solutions
  • Champions and enhances organizational initiatives by positively influencing and supporting change management and/or departmental/enterprise initiatives, especially as they relate to data management and statistical analysis
  • Serves as a resource to team members and applicable internal/external stakeholders on topics related to data management and statistical analysis
  • Identifies and recommends process improvements that significantly reduce workloads or improve quality
  • Provides analytical support to actuarial staff by preparing and analyzing data to be used in actuarial calculations and/or models
  • Extracts and integrates data from various sources while maintaining data integrity
  • Reviews sources of data for reasonableness and accuracy; tests data to identify discrepancies and resolves any issues identified
  • Maintains and updates databases, files, and queries for use in analyses or reports
  • Applies intermediate knowledge of insurance products and accounting principles and selects appropriate methods/models to perform complex data analyses
  • Provides complex reports, including summaries, charts, or graphs to describe and interpret findings to actuarial team and/or business management
  • Coordinates complex actuarial research and participates on project teams as needed
  • Builds and maintains relationships with internal/external stakeholders as needed to prepare actuarial information and communicate with business management
  • Acts as a resource and actuarial liaison with other departments
  • 3-5 years of experience in predictive modeling, statistical methods or big data
  • Ability to read, analyze and interpret both internal and external documents such as general media/publications, professional journals, technical procedures, governmental regulations, policies, proposals, and standard operating procedures
  • Expertise with statistical capabilities of SAS and/or R, highly preferred
  • Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, Access, VBA)
  • Strong project management skills including ability to coordinate and balance multiple projects in a time-sensitive environment while under pressure, and still meet deadlines
  • Strong critical thinking skills and the drive to work independently combined with a demonstrated track record of consistently meeting and/or exceeding performance expectations
  • Drives performance targets to completion
20

Data & Digital Analytics Consultant Resume Examples & Samples

  • Develop data collection methodologies and processes to support online campaigns, website/portal behavior, customer quotes & sales, conversion funnel and performance
  • Aggregate data from 1st and 3rd party sources to create a full-funnel view of the customer journey
  • Investigate customer behavior, attribute revenue, assess business impact and socialize your findings for organization improvement
  • Determine the correlation between online and offline data sources to provide behavioral insights
  • Assist in setting analytics strategic direction including governance and enhancing use of measurement tools
  • Ensure analytic and data operational best practices are scalable
21

Consultant, Data Analytics Resume Examples & Samples

  • Completes work independently; receives general guidance on new projects
  • Act as internal consultant, serving National Logistics Center and corporate Pharmaceutical teams
  • Perform analyses and quantitative modeling to support strategic, tactical, and operational decisions in the following areas
  • Quantitative undergraduate degree with 2-4 years relevant experience required; MS/MBA with focus in Operations Research, Industrial Engineering, or Statistics preferred
  • Demonstrated ability to apply Operations Research or other analytical techniques in the areas of logistics and supply chain management
  • Computer skills including data analysis with tools such as SAS, MS Access, MS Excel and other data warehouse software
  • Experience with Strategic Network Design, Transportation Optimization, Simulation, or Mathematical Programming (e.g. CPLEX) software preferred
  • Proven ability to work as part of a team as the key analytical resource
  • Good communication skills required for problem definition and review of results
  • 4+ years experience in related field preferred
  • Advanced Degree in related field preferred
  • 5% Travel
22

Senior IT Data Analytics Consultant Resume Examples & Samples

  • Developing source to target data mapping in big data technologies to integrate data from source systems and provision to the Consumer 360
  • Source to target mapping - understand the source data and enterprise data models to create source to target mapping, map from canonicals to API
  • Partner with Data Architect to determine Data analysis and profiling, source SME, estimate mapping effort, determine join relationship/transformation, documenting the data mapping
  • Partnering with product team to determine gaps in current source to target mapping, C360 gatekeeper for mapping hand over
  • Liaison between data architecture, source SME and delivery (scrum team) for analysis and to present intermediate and final data analytical results
  • 5+ years of experience as a programmer and IT Analyst
  • Strong knowledge of data integration development and data modeling
  • Hands on experience with data profiling and analysis
  • Familiarity with agile development
  • Experience working with offshore teams
  • Experience with data warehouse tools such as SQL, PLSQL and COGNOS
  • Experience with Traceability Matrix based on High/Detail requirements
  • Experience with data base technologies such as Oracle and DB2
23

Senior Consultant of Market Data Analytics & Customer Insights Resume Examples & Samples

  • Draw critical insights and relationships both qualitatively and quantitatively from raw data and present key findings in written and oral format to mid-level and senior management
  • Manage the market and customer analysis required to support strategic initiatives across Ryder’s Business Units, product lines and vertical industry segments
  • Guide the development and execution of the market data analytics & insights team on assigned projects to procure data, conduct accurate and timely analysis and summarize, synthesize and report salient market and customer insights
  • Conduct strategic market analysis across Ryder Business Units that may include customer/market sizing, share, growth, trend analysis and segmentation; developing top target lists for execution in B2B marketing and sales campaigns and analysis of campaign/sales results; and utilizing statistical modeling techniques with in-house and third-party suppliers to refine predictive models for targeting prospects, customer up-sell/cross-sell opportunities, and churn/at-risk segments
  • Collaborate with other teams including Digital and Integrated Marketing teams, as well as Sales, Operations, Strategy, and external B2B vendors as needed in order to obtain necessary inputs for analytical projects and present key insights to cross-functional teams
  • Gather and summarize raw data from standardized marketing & sales source systems (including Salesforce.com, Microstrategy, EDW, SQL, and Advanced Excel tools) in pivot tables, PowerPoint charts and Tableau visualization diagrams
24

Consultant Data Visualization & Analytics Resume Examples & Samples

  • Create interactive dashboards and visualizations leveraging Tableau, Qlik, Microsoft BI and/or Spotfire
  • Create functional and technical documentation related to Business Intelligence solutions
  • Deliver transformative solutions to clients that are aligned to industry best practices and provide thought leadership in data space
  • Bachelor’s Degree desired in Computer Science, Information Technology, or related field
  • Two plus years of experience with data visualization, implementing high-value solutions and performing administrative activities across multi-environment infrastructure
  • Knowledge of relational and dimensional database structures, theories, principles, and practice
25

Microsoft Data & Analytics Consultant Resume Examples & Samples

  • Lead solution development efforts as a hands-on, technical expert in data/analytics
  • Develop data and analytics solutions using Microsoft SQL
  • Create informative and interactive data visualizations/models with Power BI
  • Utilize key components of SQL Server
  • Write relational and multidimensional database queries, flows and movements
  • Develop reports, dashboards and analytical workbooks for enterprise solutions
  • Add value to project teams through effective collaboration and communication
  • Assist teams with pre-sales efforts, client presentations, and proposals/contracts
  • Experience with Microsoft SQL Server Analysis Services, Microsoft Analytics
  • Passion for data and conveying analytical information
  • Strong mathematical, analytical and problem-solving skills
  • Strong communication skills, both oral and written are required
  • Degree or equivalent experience in information technology, computer science, business, or engineering
26

Marketing Analytics & Data Driven Consultant Resume Examples & Samples

  • Work directly with internal clients such as Business Units and Geo senior management to act as an extension of their team providing data driven marketing strategy & insights
  • Support ‘client’ teams with marketing & consulting frameworks enablement, and tools, analytics & data analysis using data from performance and optimization, segmentation, the sales funnel, predictive analytics and other data available
  • Lead analytic projects for Product and Portfolio marketing, Business planning, Marketing ROI, Growth decomposition, Opportunity identification, Data Visualization and Analytics dashboard creation and other areas
  • For the projects in the above mentioned areas, work with centralized team to provide support and perform required data analysis
  • Create interpretations that present the “story” from the analysis to clients, being a catalyst of change based on performance
  • Ensure all client deliverables meet client expectations and identify and resolve barriers in terms of scope, speed & quality
  • Play a solutions development role generating additional feedback and need requirements for new solutions from clients within the organization where existing technologies don’t exist
  • Continuously gather & pass client inputs, perspectives, thinking & feedback to the corporate team
  • Excellent marketing domain knowledge understanding, particularly in the technology and software domain. Media domain experience is a bonus
  • Strong understanding of data (e.g., SQL), statistics (e.g., SPSS), and interpretation; with an expertise in applying data and analytics to real business problems
  • Ability to train, coach others on best data driven marketing practices
  • Should be good at analytical thinking & breaking down large problems into solvable parts
  • Should be willing to continuously co-ordinate with non-local teams (offshore) and hence handle late night & early morning calls as required
  • Excellent Microsoft Excel and PowerPoint skills required
  • Have a consulting orientation; gather different perspectives, examples and use them to enrich day-to-day work
  • Ability to multi-task, manage multiple projects at the same time
  • 8-10 years of data and consulting experience in the areas of Data, Marketing and Strategy is a must
  • Experience in Top Tier Consulting firm would be preferred
  • Bachelor’s degree in Statistics, Business, Economics, Engineering and/or Marketing or another quantitative field required
  • Master’s degree or PhD in Business Administration or Quantitative field is preferred. Preferably with Data/Marketing/Strategy as one of the focus areas or equivalent experience
27

Stars Data Analytics Consultant Resume Examples & Samples

  • Provides analytic expertise in Medicare STAR analytics to support effective outcome and population support for the business
  • Ongoing engagement in CMS publications/announcements to evaluate & provide strategic guidance in Stars methodology changes and impacts to operational strategy
  • Responsible for maintaining and forecasting Enterprise Star Ratings
  • Manipulate data using large datasets and multiple data sources
  • Analyze or assist in the analysis of processes and programs in achieving stated goals. Provide analyses and recommendations if corrections are needed. Investigates and discovers areas of opportunity
  • Monitor and evaluate patterns, costs and trends
  • Write SAS and/or SQL programs for data extraction. Modifies existing programs for data extraction
  • Accountable for developing insightful and actionable summaries and recommending actions
  • Train team members on analytical tools and techniques. Provide guidance and review work of team members
  • Bachelors degree in Business Analytics, Health Economics or similar program
  • Strong understanding of the Quality Star program as defined by CMS
  • Strong understanding of Medicare Advantage Health Plans
28

Consultant Big Data & Analytics Resume Examples & Samples

  • Demonstrated history of achievement in academics, internships, course
  • Basic knowledge in Big Data technologies, e. g. Apache Hadoop,Spark, Python, SPSS/R, or NoSQL
  • Eligibility Requirements
29

Senior IT Data Analytics Consultant Resume Examples & Samples

  • Working with Operations and Product Development staff to support applications/processes to facilitate the effective and efficient implementation/migration of new clients' healthcare data through the Optum Impact Product Suite
  • Processing and analyzing health care data using Optum Impact standard warehouse methodologies and software
  • Reviewing and analyzing client data via quality control processes for anomalies or other issues which could compromise product functionality
  • Communicating data issues and discoveries with clients during the implementation process via written documentation, conference calls and occasional on-site meetings
  • Documenting issues, resolutions and programming steps pertaining to the implementation process and client data
  • Working with team members on managing the data implementation process from start to finish for clients
  • Act as a data consultant to our Impact Suite clients during implementation
  • Supports Optum Support Desk as a functional SME for Impact/Symmetry
  • Company thought leader
  • 7+ years of experience with health insurance, health care or pharmaceutical industry data
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Internal Audit Data Analytics Consultant Resume Examples & Samples

  • 60% - Performance of Analytics
  • Two years of advanced application of data analytics techniques and tools in a complex business environment, including the application of general statistical concepts against large volumes of data
  • Two years in collecting and analyzing complex data, evaluating information and drawing logical conclusions
  • Two years with data access, analysis and visualization tools, such as Excel, Access, MS-SQL, PLSQL Developer, Microsoft BI, Alteryx, and Tableau
  • Two years accessing and analyzing data in environments such as SAS, SQL, Oracle and AS400
  • Ability to travel domestically up to 25% to provide coverage to multiple IAS locations and to participate in department meetings. International travel would be rare, but not out of the question as needs arise
  • Experience with financial services or insurance industry data
  • Experience applying fraud discovery techniques during design and execution of data analytics
  • Experience in formal communications (written reports and oral) with all levels of staff and management, particularly the creation and maintenance of management reporting dashboards
  • The ability to facilitate meetings and presentations
  • The ability to mentor and coach colleagues through influence to achieve team results
  • Ability to consider and apply statistical concepts during analysis of large volumes of business data
  • Ability to extract, define and analyze complex data, and draw relevant conclusions in support of audit objectives
  • Ability to proactively expand knowledge and understanding of technical environments through self-directed research, on-the-job experience, and professional networking
  • Ability to write clearly to communicate relevant impact of analytic results
  • Ability to document work performed to enable external re-performance
  • Ability to think critically through recognizing assumptions, evaluating arguments and drawing conclusions
  • Ability to maintain composure and deliver results while under pressure managing multiple assignments and priorities
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Lead Data & Analytics Consultant Resume Examples & Samples

  • Bachelor’s degree in computer science, MIS, math, statistics, business or related field
  • 10+ years experience in progressively responsible roles in systems, client computing or data analysis roles
  • Expertise in one or more development or analytical tools such as Netezza, SAS, Tableau, SQL, SQL-based ETL, SPSS, Visual Basic, TSO, Unix, JCL or other tool
  • Proven expertise with data modeling and business intelligence solutions
  • Confirmed ability to work with people at all levels of the organization
  • Confirmed ability to deliver results and recommendations in written, verbal and presentation form at an appropriate level for a business audience
  • You have experience in coaching and mentoring staff members required
  • Proven management skills including negotiating, leadership, delegation, planning and organization
  • You have strong interpersonal skills and effective oral and written communication skills; Ability to work effectively with people at all levels in the client areas and IS areas as well as own team
  • Skilled at agile development practices
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Data & Analytics Principal Consultant Resume Examples & Samples

  • Experience with analyzing the dataset with strong SQL skill-set
  • Good understanding of implementation of data-warehousing projects – Nice to have
  • Co-ordinate with multiple teams (operations, testing, functional users) on deliverables & release activities
  • Analysis and troubleshooting of any data related issues
  • Supporting activities for Development/testing teams
  • Strong analytical and triaging skills
  • 5 years experience working and or supporting SQL
33

Atlanta Data & Analytics Business Intelligence Senior Consultant Resume Examples & Samples

  • Prior project management and supervisory skills ideal
  • Sound job administration skills
  • Above-average written and verbal communication skills, including documentation of findings and recommendations
  • Ability to handle highly confidential information in a strictly professional manner
  • Ability to maintain professional demeanor in times of high stress
  • Develop and apply proficiency with Protiviti policies and methodologies
  • Apply understanding of business processes and technical skills to successful completion of projects
  • Proficiency in utilization of information security tools such as Nessus, Kismet, Airsnort, NMAP, Ethereal, WebInspect and Nikto, and manual techniques to exploit vulnerabilities in the OWASP top 10 including but not limited to cross-site scripting, SQL injections, session hi-jacking and buffer overflows to obtain controlled access to target systems
  • Ability to perform network traffic forensic analysis, utilizing packet capturing software, to isolate malicious network behavior, inappropriate network use or identification of insecure network protocols
  • 3+ years hands on experience in one or more of the following Operating Systems: Windows Server 2003/2000/NT, Linux and UNIX
  • 3+ years practical experience in TCP/IP Networking
  • A diverse skill base in both Information Systems and Information Security which address organizational structure and administration practices, system development and maintenance procedures, system software and hardware controls, security and access controls, computer operations, environmental protection and detection, and backup and recovery procedures
  • Attack and Penetration experience in testing of Internet infrastructure and Web-based applications utilizing manual and automated tools
  • Knowledge of information system architecture and security controls (i.e. firewall and border router configurations, operating systems configurations, wireless architectures, databases, specialized appliances and information security policies and procedures)