Analytics Developer Resume Samples

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CK
C King
Collin
King
8740 Bernhard Square
Los Angeles
CA
+1 (555) 318 8528
8740 Bernhard Square
Los Angeles
CA
Phone
p +1 (555) 318 8528
Experience Experience
Philadelphia, PA
Analytics Developer
Philadelphia, PA
Frami Group
Philadelphia, PA
Analytics Developer
  • Perform hands-on development work architecting and (re)implementing the team's suite of analytical tools
  • Manage project workload and ensure the development standards are respected
  • Provide transparency to the development process and keep track of the projects and tasks by providing timely updates to any potential changes
  • Provide direction to analytic developers on solution development implementation
  • Develops modules to batch process and automate repetitive work
  • Develop indepth subject matter expertise to assist the business user with investigation and resoution of issues. Brainstorn ideas for tactical solutions
  • Take full ownership of an issue and work with team members until a satisfactory resolution is provided
Chicago, IL
Quant Analytics Developer
Chicago, IL
Moore and Sons
Chicago, IL
Quant Analytics Developer
  • Database Management: Run and monitor daily process to build data in production environment, test and implement ideas to improve data quality
  • Windows development, Linux development
  • Work well under pressure
  • Multi-threaded development
  • Proven track record to design, develop real-time quant analytics systems
  • Develop fast/efficient code and fix issues in applications
  • Provide technical mentorship to junior members of the team
present
Houston, TX
Senior Analytics Developer
Houston, TX
McCullough Inc
present
Houston, TX
Senior Analytics Developer
present
  • Work in an agile, rapid development and prototyping environment
  • Knowledge of modern web development practices such as Git, SVN, Maven and Agile development
  • Assist client account teams in providing support for existing reports
  • Support the development of new web pages and applications using JavaScript to provide front end logic
  • Lead the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support activities
  • Develop Spotfire reports utilizing advanced data visualization techniques and related SQL with wing to wing responsibility for implementation and support
  • Conduct performance testing on a regular basis
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of Tennessee
Bachelor’s Degree in Computer Science
Skills Skills
  • Proficiency with SAS as a statistical package is also highly desirable
  • Detail oriented - is expected to ensure highest level of quality/rigor in analysis
  • Solid knowledge of MongoDB and other NoSQL database concepts
  • Strong communication skills and able to work with traders, desk strategists and risk departments
  • Ability to collect, maintain, and analyze basic data
  • Ability to generate basic reports
  • Solid analytical, problem solving and pattern recognition skills
  • Working knowledge of relational data bases, data structures, and queries
  • Ability to work independently and as part of cross-functional teams
  • Excellent written and oral communication skills
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15 Analytics Developer resume templates

1

Credit Risk Engines Analytics Developer Resume Examples & Samples

  • Technical analysis and R scripting development
  • Liaising with clients to understand requirements, producing and shaping functional and technical specifications accordingly
  • C++ development - specifically designing, coding, testing and maintaining/fixing features in the Credit Risk Engines team
  • Continuously improving the performance of our codebase
  • Providing guidance to more junior team members both locally and in the larger global team of coding style and implementation
  • Providing 3rd line developer support for meeting our business-critical service levels
  • Developer management of project teams, taking ownership of the business deliverable from inception to delivery, go-live and post-go-live support
2

Portfolio Analytics Developer Resume Examples & Samples

  • Demonstrate a passion for applying technology to solve real world problems,
  • Enjoy a multi-faceted developer role where you get to work on both the front end and back end of the system,
  • Be excited by the prospect of building a career in the financial markets and the opportunity to work for an industry leader,
  • Have a desire to learn new tools and technologies,
  • Actively engage to understand the business, working directly with various teams to find solutions and following through to completion
  • Design and develop applications and infrastructure on the Portfolio Analytics platform, working directly with the business to create solutions
  • Monitor and resolve issues with daily processes
  • Participate in code reviews with other team members to ensure high quality standards
  • Respond to support requests from users
  • Coordinate with IT and Business Analyst teams to integrate required third party data and software
  • Proactively introduce improvements to development workflows and processes for the team
  • Develop deep understanding of the business and products
  • Forge strong working relationship with Portfolio Management team
3

Analytics Developer Resume Examples & Samples

  • 4+ years Java programming experience in a Unix/Linux/Windows environment
  • 3+ years of Core Java programming experience
  • 3+ years of experience with C++ and Oracle
  • Work experience within a technology group focused in Financial software within the Fixed Income area
  • Good verbal and written communication, work well with users, able to collaborate with a global development team and independently with minimum supervision
  • Agile and collaborative development. Familiarity with version control (CVS/Perforce etc), defect tracking systems (JIRA, Bugzilla) and test frameworks (JUnit)
  • Pro-active, thorough, well-organised and energetic
  • Excellent problem solving skills with a commitment for thorough root cause analysis
4

VP-senior Analytics Developer Resume Examples & Samples

  • Participate in the full development cycle and second line support of bond and derivatives pricing and risk applications
  • Work with reference data team and/or syndicate desk to source indicatives
  • Work with the Trading desks and Quant modeling teams to implement and deliver market leading analytics
  • Work with Trade Booking, Marking and Risk Aggregation teams for reference data and reporting
  • Mentor junior members of the team
5

Analytics Developer Tableau Resume Examples & Samples

  • Understand data sources (Greenplum, Teradata, DB2, Oracle)
  • Work with business partners and data analysts to understand the business needs and and analytics and reporting requirements and suggest dashboard and report designs to meet those needs
  • Research underlying data and define an approach using SQL, SAS, and Tableau capabilities for enabling access and performance in Tableau
  • Develop extracts, aggregations, and data connections in Tableau, SAS, and SQL
  • Utilize best practice principles in designing and conceptualizing Tableau dashboards from business requirements
  • Provide technical support in defining a business partner approach to self-service; train our key stakeholders on self-service tools
  • Become a core resource in Tableau expertise for the Digital Analytics team
  • 3+ years of technology and or financial services industry experience with an emphasis on digital customer analytics; experience working with online and mobile technologies
  • 2+ years experience building dashboards and reports using Tableau
  • 2+ years experience analyzing data sources and building aggregations with SQL accessing Oracle, DB2, Teradata, or Greenplum
  • 1+ years using SAS or R preferred
  • Self starter with strong communication skills
  • Passion for innovation in consumer financial services
6

Dashboard & Analytics Developer Resume Examples & Samples

  • JavaScript, HTML and CSS
  • A great communicator and team-player
  • An enthusiasm for continuous learning
  • Charting and graphing frameworks
  • A general awareness of data visualisation and analytics
  • Exposure to cluster compute event processing frameworks like Apache Spark
  • Experience in mock-up and graphics design tools such as Fireworks, Photoshop, Illustrator, Balsamiq, Pencil etc
7

Analytics Developer Resume Examples & Samples

  • At least 1 year experience in developing software solutions utilizing IBM products stack
  • At least 2 years experience in J2EE development
  • At least 2 years experience in BI tool and Data visualization experience (Cognos)
8

Senior Analytics Developer Resume Examples & Samples

  • Use SQL and SAS to query and extract data from a variety of databases (Teradata, Greenplum, DB2, Oracle, SQL Server) and to prepare for analysis or reporting
  • Use SAS, Python, and/or R to analyze large volumes of cross-channel customer data to assess impact and opportunity
  • Proactively identify analytics and data mining opportunities for improving customer experience and potential cost save
  • Interpret open-ended requests and form an analytical approach to a business problem
  • Effectively communicate approach, results, and actionable recommendations through storytelling and visualizations to non-technical business partners
  • Provide recommendations and coaching to colleagues on appropriate use and caveats of various data mining and analytical techniques
  • Investigate and identify unknown sources of data by reading documentation, talking to business partners, and digging into data
  • Bachelor's degree or equivalent work experience Analytics/Business Intelligence, Computer Science, Statistics, Information Technology (IT), or related discipline
  • 7+ years of industry experience in with an emphasis on digital/customer analytics
  • 2+ years experience in a lead role developing/mentoring junior analyst
  • Experience writing SAS/R/Python for descriptive and/or predictive analytics
  • Experience writing efficient SQL with Oracle, DB2, Teradata, & Greenplum
  • Experience formulating the appropriate analytical approach to a variety of nontechnical business problems
  • Experience in transforming qualitative and quantitative data into actionable recommendations and KPIs
  • Experience interacting with product, marketing, and/or customer experience teams
  • Preferred experience in UNIX/AIX environments
  • Strong understanding of the data lifecycle from collection to consumption
  • Proficient in use of standard office software(MS Office, Visio)
9

Analytics Developer, VP Resume Examples & Samples

  • Designing, developing, and deploying tools for the Front Office
  • Participate or lead project planning sessions with Portfolios Managers, business analysts, and team members to analyze/translate business IT requirements
  • Provide design recommendations, developing and integrating programs per high level specifications
  • Liaising with Quant Research and other technology groups for knowledge sharing and joint initiatives
  • Define requirements, and guide the business through the development cycle (intermediate releases, evolving requirements)
  • Strong C++/Java
  • Intermediate level knowledge of Excel/VBA development
  • Oracle/Sybase (intermediate to advanced)
  • Clear understanding of pricing and risk issues on financial products on which he/she has worked
  • Efficient problem solving skills
  • Good/Clear communication skills (both written and verbal)
  • Ability to work both independently, taking clear ownership for delivery, and as part of a team. Self motivated
  • Experience working in a Trading environment
  • Able to react quickly and perform well under stress and high demand
  • Strong adaptability to changing requirements
10

Market Risk Analytics Developer Resume Examples & Samples

  • Design and document analytics modules
  • Develop analytics modules in C# and write regression tests to verify that they work
  • Present and attend code reviews
  • Liase with other team members to trouble shoot problems and devise solutions to problems
  • Liase with Market Risk, Model Review, QA and Deployment teams
11

Credit Risk IT Analytics Developer Resume Examples & Samples

  • Possess a desire to become an expert in the Derivatives business
  • Embrace interaction with business groups (e.g. traders, quantitative analysts)
  • Be able to capture business requirements accurately
  • Design and implement new functionality (new models / optimizations)
  • Communicate design ideas and take part in peer reviews
  • Utilize Test Driven Development techniques
  • Participate actively and constructively in team design discussions
  • Understand the current applications and business processes, identify extensions and new functionality
  • Bachelor’s degree in Computer Science, Engineering, Finance, Economics or a Mathematical Science is required
  • Candidates will need to be able to demonstrate strong design and development skills in C#/.Net Framework and multi-threading experience
  • An understanding of the importance of good software development practices is vital
  • 3 years of experience as a software engineer in a business focused development environment with a working understanding of the full development life cycle
  • Post grad degree in Engineering, Finance, Economics or a Mathematical Science
  • Credit Derivatives working knowledge would be particularly desirable
  • The ability to take ownership of issues and follow to resolution is important; as is a methodical analytical style of problem solving
  • Candidates must understand “capital markets (bonds etc.), full flow of eTrading
  • Trade Risk & Fixed income knowledge is a plus
12

Analytics Developer Resume Examples & Samples

  • Develop and manage BI solutions including small applications, reports and processes through the application life cycle
  • Collaborate with business users to analyze business processes and requirements and identify opportunities to improve those processes with technology solutions
  • Proactively identify development needs for improving and streamlining the tools under ownership
  • Develop indepth subject matter expertise to assist the business user with investigation and resoution of issues. Brainstorn ideas for tactical solutions
  • Create and maintain documentation including requirements, design and user manuals
  • College Degree in Computer Science, Information Technology, or Finance required
  • Strong web development skills using ASP.NET languages, supplemental libraries and frameworks such a C#, VB.NET, jQuery, JavaScript, MVC, LINQ and a good understanding of IIS server
  • Solid skills in Microsoft BI stack including report development using SSRS and ETL development using SSIS. Good understanding and experience in a wide variety data visualization techniques
  • Ability to read code and support applications, reports and processes with a variety of technologies, and coding styles. Additionally, support excel macro (VBA) applications and a few console applications
  • Experience using source control tools such a Git, SVN, TFS and understanding of automated build and release management tools such as Teamcity, MS Release Management, Octopus etc
  • Functional knowledge of investment environment and analytics
  • Nice to haves: Technology - SharePoint Integration, SAS, Power BI, MEAN Stack
  • Investment Analytic tools: FactSet, Bloomberg
  • Ability to multi task and prioritize projects under conflicting deadlines
13

Analytics Developer Resume Examples & Samples

  • Exposure to data / data environments / databases / large data sets
  • Strong problem solver, someone unhappy with the status quo
  • An interest in coding with possible experience with R, matlab, SAS, SQL or Python (academic experience included)
  • Analytical mind set / someone that challenges assumptions
  • Data visualisation experience- tableau, spotfire, qlik etc
14

Quant Analytics Developer Resume Examples & Samples

  • Quant Analytics team member for Algorithmic trading platform for the AES Coverage desks in APAC
  • Maintain and enhance current Quant Analytics platform for collection of execution data and generation of standard and bespoke analytical reports
  • Database Management: Run and monitor daily process to build data in production environment, test and implement ideas to improve data quality
  • Demonstrate proficiency in C#, SQL, Oracle and Sybase and with knowledge of tick-by-tick data
15

Growth Hacking Metrics & Analytics Developer Resume Examples & Samples

  • Desired Qualifications
  • Interest in analyzing user behavior through raw numbers and qualitative data
  • Working knowledge of HTML, Cascading Style Sheets (CSS), Python and Node.js
  • Passion for user experience, user interfaces and design
  • Experience with databases (Cloudant, MongoDB), data warehousing, and big data analytics (Hadoop, Datameer)
  • Co-op or internship program enrollment is mandatory
  • Excel skills (including pivot tables)
  • A/B Testing experience a plus
  • Proven language and communication skills
  • Statistical analysis and data visualization ability
16

DW Analytics Developer Resume Examples & Samples

  • Scope, estimate, design, document, develop, and test technical solutions required to satisfy clients' needs
  • Development tasks will involve building queries, reports and dashboard coding plus analyzing disparate sources of data, assist in designing data marts, and documenting validation scripts
  • Supporting reports and jobs that are in production
  • Be a resource and advocate for the business partners
  • Troubleshooting issues
  • Work closely with Data Warehouse team to ensure the proper data is being used in the reports
  • Advocate for change and assist in the alignment of team initiatives to ETS strategic goals and priorities
  • Willingness to learn other tools and technologies as needed
  • Knowledge of data warehouse and data mart concepts with detailed knowledge of relational and dimensional data models
  • Possesses strong time management, prioritization, and interpersonal skills
  • Demonstrates ability to document and explain complex technical concepts
  • Possesses both technical and non-technical problem solving and troubleshooting skills with the ability to conceptualize, plan, develop and deliver a variety of creative solutions
  • Demonstrates ability to work in a high volume, fast pace environment
  • Understanding of Software Development Life Cycle (SDLC) and ability to follow the process and provide the appropriate documentation
  • Building and designing analytic trends
17

Analytics Developer Resume Examples & Samples

  • Work in a global team setting to design and develop an equity PM system implemented in a web front end and Microsoft back-end while utilizing an event-driven, service-oriented application architecture
  • Design and test application Interface in JS, Angular 1.0, HTML5, CSS, SASS, C#, SQL, Dapper, RESTful API's, in a .NET development environment
  • Implement and oversee best practices and regression testing procedures to ensure quality of development across the team is maintained and can enter UAT with only minor change requirements
  • Apply and implement best practices associated with User Experience and Interface design for a modern financial web application
  • 5+ years of experience with JS, HTML5, CSS, RESTful APIs, .NET development
  • 2+ years of experience with Angular 1.0, JSON, XML, SASS, C#, SQL, Dapper ORM desired
  • Detail oriented, with excellent quantitative and analytical skills are a must
  • Self-driven and motivated with a strong work ethic are a must
  • Excellent technical and business oriented communication skills are a must. Experience working extensively with business analysts, project managers, and end users to understand complex business requirements
  • High comprehension ability and quick thinker that can demonstrate a cognitive knowledge of a given subject matter
  • Experience in or certification with User Experience design or proven track record of delivering efficient, effective, and functional interfaces highly desired. At minimum a basic knowledge of UI/UE best practices and design principles
  • Ability to work collaboratively in a team with other specialized individuals and thrive in a fast-paced, deadline-driven environment
  • Knowledge and/or experience working in financial industries highly desired. Experience developing investment or portfolio systems in support of investment business processes and extra plus
  • Experience with design patterns and data modeling, such as MVC and MVVM
  • Experience with message event techniques such as MSMQ, SQL Server Service Broker is a plus
  • BA/BS in related engineering or financial field highly desirable
  • Ability to provide a strong portfolio of past work for consideration is helpful
  • LI-MC1
18

Advance Analytics Developer Resume Examples & Samples

  • Driving manufacturing operational performance by improving raw material delivery planning and decision making in warehouse operations included fulfillment, pricing, finance, marketing, commercial and risk functions,
  • Analyzing data usage and drive the conclusion about the value creation through automation,
  • Provide relevant business context to enable exploration of data lake content
  • Masters in Mathematics, Applied Statistics, Computer Science, Information Sciences, any relevant Engineering discipline
  • Strong on Change Management skills
  • Strong Influencing and Communication skills
  • Technical experience in state of the art data tools and technologies
  • Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company
  • Ability to operate across technical and functional teams effectively
  • Curious and self-motivated learner, with a fast-learning curve to acquire specialized domain expertise
  • Proficiency in advanced analytical / statistical techniques (predictive modeling, logistic regression, decision trees, data mining methods, forecasting, neural networks and other advanced statistical and econometric techniques)
  • Experience in software development / architecting, & with applying theoretical knowledge to solve industrial problems
  • Competency in major analytic packages (R, SAS, Matlab, Python etc.), working in integrated Big Data environments (Hadoop / Map-Reduce, Mahout, Java etc.), and with databases (SQL etc.)
  • Demonstrated ability to work in a highly matrixes environment
  • Strong problem solving and logical skills communicate deep analytical results in forms that resonate with scientific and/or business collaborators, highlighting actionable insights
  • Excellent track record in delivering complex and cross functional projects/solutions
  • Excellent communication skills, and ability to communicate actionable insights with business leadership. #DTR
19

Visualization & Analytics Developer Resume Examples & Samples

  • Develop BI/BA Applications utilizing advanced data visualization techniques
  • Leverage Modern BI Architecture and emerging technologies in the web/mobile space to deliver new capabilities and value for business users and end customers
  • Quickly prototypes and iterates on ideas
  • Act as a key member of the Enterprise Data Management team, providing input into group strategy, motivation and development
  • Analyze design and develop a roadmap and implementation plan based upon a current vs. future state in a cohesive architecture viewpoint
  • Lead the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support actives
  • Bachelor’s degree from an accredited university or college in Computer Science or Information Systems
  • 5 + years’ experience of design & development of data centric applications leveraging data from enterprise data warehouses
  • 5+ years’ Information Technology/experience
  • 2+ years experience with BI / BA visualization and/or reporting tools (Expert level knowledge of Modern BI Platforms like Tableau, Spotfire, Qlik,)
  • Experience with web technologies such as HTML and CSS Integration of same with Data Visualization tools (e.g. extensions) a plus
  • Business / Functional understanding in 1 or more core business processes – Record 2 Report (Finance), Procure to Pay (Purchasing, Accounts Payable), Order 2 Cash (Sales & Distribution, Accounts Receivable), Customs & Trade
  • Experience with scripting languages like Java Script, Python etc
  • Exposure to Advanced Analytic applications, capabilities, and delivery via data visualization tools
  • Excellent BI Application development skills, as demonstrated by having led, designed and implemented successful projects
  • SAP and/or Oracle ERP systems exposure a plus
  • Ability to clearly articulate creative ideas to senior leaders
  • Ability to guide and direct technical team members through the SDLC
  • Passion for learning new technologies and eagerness to collaborate with other creative minds
  • Strong desire for exploring, evaluating and understanding new technologies
  • Ability to hit tight deadlines and work under pressure
  • Ability to reason through complex situations with strength in identifying and mitigating risks
  • Ability to build / maintain strong relationships, effectively partner with peers, and possess excellent verbal / written communication skills
20

Wave Analytics Developer Resume Examples & Samples

  • 8 + years’ experience in developing / designing reporting solutions using various reporting tools
  • Business acronyms, someone who really understand the business drivers
  • 5 + years of strong SQL skills with various database background
  • Experience working in an agile or continuous improvement environment
  • Analytical background with deep problem solving skills
  • Ability to work independently once guidance and goals are provided
  • Ability to work well as a team
  • Experience in developing and implementing reports and dashboard using various BI tools such as
21

Visualization & Analytics Developer Resume Examples & Samples

  • 5 + years’ experience of design & development of data centric applications leveraging data from enterprise data warehouses
  • 5+ years’ Information Technology  experience
  • Business / Functional understanding in 1 or more core business processes – Record 2 Report (Finance), Procure to Pay (Purchasing, Accounts Payable), Order 2 Cash (Sales & Distribution, Accounts Receivable), Customs & Trade
22

Business Modelling & Decision Analytics Developer Resume Examples & Samples

  • A degree or demonstrated experience in computer science, or mathematics with a strong knowledge of programming techniques
  • Demonstrated aptitude in quantitative and qualitative analysis with a natural interest in using it to help clients to better understand their business or to make better business decisions
  • Advanced knowledge of Microsoft Excel (3+ years preferred)
  • Strong financial modelling skills, with the ability to create financial models based on our client's operational and financial business plans
  • Strong working knowledge of VBA and SQL stored procedures programming (3+ years preferred)
  • Prior experience on web technologies development using C#.NET (2+ years preferred)
  • Experience with JavaScript and SharePoint, an advantage
23

IT Junior Analytics Developer Resume Examples & Samples

  • Be committed to continuously improving your technical, leadership and teamwork skills. Be on the forefront of Analytics/BI and EPM trends
  • Continuously seek opportunities for improving our processes, architecture and solutions
  • Bachelor's degree in Computer Science or Engineering
  • 1-2 years working in a software development role
  • Hands on experience developing JavaScript, HTML5 and CSS. Experience with SAP Products like Business Objects, BW, BPC or IP and ABAP is a plus
  • Experience working in an Agile development environment, preferably SCRUM
24

IT Senior Analytics Developer Resume Examples & Samples

  • Contribute to all BI and EPM technical project tasks, including requirements gathering, design, prototype, application development, testing and rollout
  • Write and maintain clear, concise technical specifications for BI and EPM solutions
  • Integrate work packages within new or existing processes, solutions and landscapes
  • Proactively and frequently communicate with internal customers and stakeholders to build and maintain a solid working relationship
  • Mentor junior team members and interns
  • Develop and foster partnership with Product development teams. Contribute / influence product features with ideas and proof of concepts based on business use cases
  • 5+ years working in a software development role
  • Demonstrated experience with SQL scripting and database design/modeling techniques – HANA experience is a plus
  • Hands on experience with JavaScript, HTML5 and CSS. Experience with SAP Products like Business Objects, BW, BPC or IP and ABAP is a plus
  • Experience working in a highly scalable and distributed system. Knowledge of memory and cpu usage management and memory intensive computing
  • Ability to work well in a team as well as independently and have a positive self-motivated can-do attitude
  • Strong analytical skills and ability to think in a complex and rapidly changing environment
  • Excellent oral and written communication skills (English)
25

Senior Analytics Developer Resume Examples & Samples

  • Work collaboratively across functions, interfacing regularly with Product Management, Operations, Sales, Clients Service, Marketing Analytics, and Sales Engineering
  • Identify new and unique analytical opportunities by challenging conventional marketing analytics and tactics
  • Assist client account teams in providing support for existing reports
  • 5-7+ years hands-on experience in analytics role with an emphasis on building and supporting reports and dashboards
  • Fluency with working with BI tools specifically JasperSoft
  • Experience with parallel computing in a data science environment a plus
  • Excellent presentation / communication skills and ability to work with sales and client services teams as well as technology groups
26

Analytics Developer Resume Examples & Samples

  • Detail oriented - is expected to ensure highest level of quality/rigor in analysis
  • Ability to execute and solve problems independently
  • Able to communicate data and technical concepts to a business audience
  • High level of competence in Microsoft Office Suit
  • Intellectually curious and continuously striving to learn
  • Excellent hands-on analytical and problem solving skills, with demonstrated intellectual and analytical rigor
  • Experiences with creating complicated and efficient queries in common database (DB2, HBase, others)
  • Experience using Hadoop and the related query engines (Hive / Impala)
  • Proficiency with SAS as a statistical package is also highly desirable
  • UNIX proficiency is must
  • Experience in programming in Python, Spark or similar language
  • Minimum of 5 years of business experience, with minimum of 2 years of data analysis involving large volume of data using common analytical/statistical software in relevant settings such as analytics, business- Minimumconsulting, or other data-driven functions
  • Experiences with monitoring production system to detect and investigate anomalies under tight time frame
  • Preferred to have Post Graduate degree in quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering or equivalent experience
  • Analytics experience in credit cards, financial services, is helpful but not required
27

Logi Analytics Developer Resume Examples & Samples

  • Support Insight Dashboard application in EMEA and Americas time zone
  • Collaborate with global teams on Insight Dashboard project so that it is deployed on to the client landscape; Support the product post implementation
  • To provide technical analysis and design of solutions for identified problems and approved enhancements for Insight Dashboard application
  • Plays an integral role in building and enhancing the analytics infrastructure required to support the business portfolio while providing consultation to internal business partners, end users in assessing HR executives/Practitioner needs
  • To manage own project activities on a daily basis to ensure on-time completion of committed deliverables
  • To adhere to standards for process and methodology, analysis and design, configuration and testing, as well as documentation in all work activities performed
  • To collaborate with Insight Dashboard project team to ensure that functionality is optimized between being feature-rich, easily implemented and maintained, highly usable and intuitive, and meets committed timelines
  • To communicate status of projects regularly to ensure no surprises and to proactively address potential roadblocks
  • To provide a single point of ownership for all technical details for a portfolio of assigned countries
28

Analytics Developer Resume Examples & Samples

  • 2 or more years’ experience of design & development of data centric applications leveraging data from enterprise data warehouses
  • 2 or more years Information Technology/experience
  • Must be willing to comply with pre-employment screening, including but not limited to drug testing, reference verification, and
  • 1 year+ experience with BI visualization and/or reporting tools (Expert level knowledge of Modern BI Platforms like Spotfire, Qlik, Tableau etc.). A data and reporting guru
29

Senior Analytics Developer Resume Examples & Samples

  • A minimum of 3+ years of experience in statistical analysis and machine learning
  • Significant experience with Hadoop projects, distributed computing, data and systems management and Hadoop components such as Hive, Pig, etc
  • Exceptional analytical and problem solving skills; uses strong communication skills to communicate complex issues in easily understandable terms
  • Effective inter-personal skills working well with a fast moving team; able to build and maintain strong relationships with business and technology partners
30

Senior Analytics Developer Resume Examples & Samples

  • Develop Spotfire reports utilizing advanced data visualization techniques and related SQL with wing to wing responsibility for implementation and support
  • Leverage Treasury Data Lake and data virtualization technologies (Denodo) to deliver new capabilities on tablet and mobile platforms
  • Work on an agile team using Rally to quickly prototype and iterate on ideas
  • Lead the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support activities
  • Write SQL to explore source data, data issues, etc. Identify impact on existing model/ solution triggered by new/changed requirements
  • Query data from Greenplum, Oracle and MS SQL databases
  • Build and implement models with R and TERR in Spotfire
  • Translate business requirements into technical solution. Assess requirements for completeness and accuracy and work with requirement providers to close issues and gaps
  • Develop peer, cross-functional and cross-GE business relationships to maximize best practice sharing and team effectiveness
  • Some years of experience writing complex SQL
  • Some years of experience with BI visualization and/or reporting tools (Expert level knowledge of Modern BI Platforms like Spotfire, Qlik, Tableau etc.)
  • Demonstrates knowledge of business' structure (P&Ls) & the levers that support the business goals
  • Offers data solutions as a method to achieve bus objectives. Knowledgeable about pricing and cost drivers for Services model(s) of their business; aware of services models of other GE businesses
  • Does a comparison analysis of trends, implements action towards new direction/trend
  • Articulates the value proposition of existing technology capabilities and maps them to customer requirements to minimize incremental cost of development
31

Advanced Analytics Developer Resume Examples & Samples

  • A minimum of 3 years experience developing interactive, advanced analytics and/or BI
  • Advanced proficiency in data visualization tools with a strong grasp of effective data modeling and visualization practices (Tableau, PowerBI, Qlik)
  • Examples of how your passion for data driven decision making and intellectual curiosity translated into value for your organization
  • Effective communication and collaboration skills
  • Experience developing in R, Python, SQL, Java
  • Proficiency in data mining techniques (classification, regression, clustering, causal modeling)
32

IoT Analytics Developer Resume Examples & Samples

  • Git skills
  • Basic bash skills find, grep, cp, mv, less, top, etc
  • Dynamic language experience Python, Ruby, Javascript, or PHP
  • Independence, initiative
  • Passion for Technology github projects, side projects
  • .Knowledge of basic data formats json, database, csv
  • Basic networking ip vs. MAC, basic OSI, protocols http, ssh, tcp, sockets, etc
  • Infrastructure competence OS familiarity, virtual, cloud, package management install services
33

Visualization & Analytics Developer Resume Examples & Samples

  • Participate in the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support
  • 1 + years’ experience of design & development of data centric applications leveraging data from enterprise data warehouses
  • 2+ years’ Information Technology experience
  • 1+ years experience with BI / BA visualization and/or reporting tools (Expert level knowledge of Modern BI Platforms like Tableau, Spotfire, Qlik,)
  • Business / Functional understanding in 1 or more core business processes – Record 2 Report (Finance), Procure to Pay (Purchasing, Accounts Payable), Order 2 Cash (Sales & Distribution, Accounts Receivable), Customs & Trade Experience with scripting languages like Java Script, Python etc
  • Exposure to Advanced Analytic applications, capabilities, and delivery via data visualization tools Excellent BI Application development skills, as demonstrated by having led, designed and implemented successful projects
34

Predictive Analytics Developer Resume Examples & Samples

  • Develop software against specifications created in partnership with team members and product managers
  • Create and execute unit and integration tests to ensure software meets business and performance requirements and software quality standards
  • Contribute to software design and lead the design of well-defined components
  • Develop quality improvements to prevent and resolve software problems
  • Bachelor Degree in Computer Science / Engineering or equivalent
  • 3+ years of software development experience, which must include industry related Java experience
  • Experience in development of complex distributed systems
  • In-depth knowledge of Big Data technologies including experience working with HBase, Impala, Hive, HDFS, MapReduce and Spark is preferred
  • Experience working with financial data preferred
  • Strong problem solving, algorithmic thinking and coding skills
  • Strong working knowledge of C++ and SQL preferred
  • Experience with performance tuning and optimization preferred
  • Ability to work in highly agile team environment
  • Self-driven, goal-oriented team player with good communication skills
35

Portfolio Analytics Developer Resume Examples & Samples

  • Help identify and implement short-term and long-term solutions and risk assessments for analytics software
  • May provide technical support to operations or other development teams
  • Participate in project planning sessions with team members to analyze development requirements, provide design options, and provide work breakdown and estimates of work
36

Visualization & Analytics Developer Resume Examples & Samples

  • Participate in the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support actives
  • Bachelor’s degree from an accredited university or college in Computer Science or Information Systems or equivalent
  • Experience of design & development of data centric applications leveraging data from enterprise data warehouses
  • Strong Information Technology experience
  • Experience with BI / BA visualization and/or reporting tools (Expert level knowledge of Modern BI Platforms like Tableau, Spotfire, Qlik,)
37

Analytics Developer Resume Examples & Samples

  • Utilize mapping tool sets to query and analyze existing enterprise GIS datasets
  • Visualize and work on UI/UX for GIS datasets
  • Creating mockups of business requirement UI initiatives
  • Developing mockups into front-end solutions
  • Utilize ArcGIS packages to design, update and maintain project and geographic point databases
  • Write project reports, technical papers and prepare technical presentations
  • Assist multiple project teams with the evaluation of data from outside resources and qualitycontrol of maps and datasets
  • Work with a variety of software and databases to leverage demographic, marketing and competitor
  • Compile large data from various source materials, digital cartographic editing, and performing quality assurance or quality control
  • Deliver database information in response to requests
  • Develops modules to batch process and automate repetitive work
  • Provides input in discussions concerning GIS best practices and ideas to improve day to dayoperations
  • Bachelor degree in GIS, Geography or Computer Science with a minimum one year related
  • Experience in GIS, mapping techniques and parcel dataset design and maintenance
  • Experience with interpreting, integrating, and managing large spatial imagery datasets
  • Proficient in ArcGIS, MapInfo Professional or Manifold System to develop, import, export and maintain spatial datasets required
  • Proficient in Microsoft Word, Powerpoint and Excel
  • Experience with analytical tools such as SAS, My SQL, Tableau is an asset
  • Ability to handle multiple projects in a fast-paced environment
  • Demonstrate analytical, problem solving and decision-making abilities
  • Ability to prioritize under pressure on tight deadlines
38

Analytics Developer Resume Examples & Samples

  • Grow your career- eligible for promotion every 12 months and a clearly defined career path with the tools, support and mentors to get there
  • Build integrations between systems and our data warehouse
  • Design, develop, plan, and modify new and existing reports, queries, and applications
  • Assist in the support of existing applications and websites
  • Gather requirements and work with business subject matter experts to identify needs
  • Troubleshoot and resolve production issues
  • Grow your experience in
39

Watson Analytics Developer Resume Examples & Samples

  • Working alongside our multidisciplinary team of developers and designers to create the next generation of enterprise software
  • Optimizing front-end code to ensure a consistent and fast experience for our users
  • Developing high-quality software using the following technologies: Node.js, Express, Angular, React, Dust.js, Handlebars, Java, HTML 5 (including Web Components), and JavaScript
  • Implementing responsive cross-browser user experiences
  • Developing software using an agile continuous delivery development process
  • Proficiency in JavaScript (ES6 an asset), HTML 5, CSS 3, and Node.js
  • Familiarity with a variety of web frameworks and toolkits, and an understanding of their pros and cons
  • Demonstrates verbal and written communications skills
  • Passion for keeping up-to-date with the latest web technologies and standards
  • Experience handling data using XHR, JSON and Representational State Transfer (REST) APIs
  • Experience and knowledge of the nuances required in creating cross-browser web applications
40

Business Analytics Developer Resume Examples & Samples

  • Assists in maintaining data and security within IBM Cognos BI and TM1 databases
  • Participates in data modeling, ETL design and development
  • Creates and maintain data models, templates, applications, etc. for end user data analysis and reporting
  • Monitors system performance and taking corrective action for errors and omissions
  • Develops and update annual and periodic reporting templates, views, and dashboards
  • Creates, tests and edits Cognos BI and TM1 reports, including Excel Macros
  • Facilitates and monitors data replication between business intelligence server sites
  • Extracts data from SAP ECC, SAP Business Warehouse and SAP Business Objects
  • Writes and edits Business Intelligence cube rules and related system logic
  • Supports team members on departmental, cross-departmental and company-wide initiatives
  • Provides as needed support for Cognos and TM1 users in-person, via web and over telephone
  • Works with outside software consultants on future system developments, testing and enhancements
  • Develops system integration points between TM1, Cognos BI, SQL, SAP BW, Business Objects and other data sources
41

Senior Analytics Developer Resume Examples & Samples

  • Be an analytics rockstar!
  • Oversee analytics implementation using DTM and Google Tag Manager
  • Assist with optimization and marketing initiatives by seamlessly integrating third party tags
  • Support the development of new web pages and applications using JavaScript to provide front end logic
  • Conduct performance testing on a regular basis
  • QA and ensure quality reporting on hundreds of pages to allow for analytics insights
  • Participate in project planning sessions with team members to analyze development requirements, provide work breakdown and estimates of work
  • Participate in functional specification, design and code reviews
  • Work in an agile, rapid development and prototyping environment
  • Other ad-hoc projects to facilitate growth. Historically, this has included programming in Python and Java
  • 7+ years in Internet related web and/or analytical development for a public-facing internet web site. (Candidate must have prior experience with intranet/internet web sites development)
  • Bachelors or Masters in computer science or related field
  • Experience with Adobe Marketing Cloud solutions such as Adobe DTM and Adobe SiteCatalyst
  • Front-end web development experience with Javascript, CSS, HTML
  • Experience writing jQuery and event listeners to detect user behavior on DOM elements
  • Experience with JMeter or other performance testing tools
  • Experience with Selenium or other QA automation tools
  • Any scripting language knowledge a plus
  • Knowledge of modern web development practices such as Git, SVN, Maven and Agile development
  • Motivation and an interest in enhancing skills and learning new technologies
  • The ability to work independently with minimal oversight while delivering outstanding results
42

Analytics Developer Resume Examples & Samples

  • Perform hands-on development work architecting and (re)implementing the team's suite of analytical tools
  • Coordinate and assist with the design, development implementation and support of software for business use in production environment
  • Work closely with stakeholders to design and document solutions that aligns with the business needs and remains consistent with the architectural vision
  • Mentor and train project team members to enforce development guidelines and best practices
  • Self-starter, highly motivated individual that thrives in a collaborative team environment
  • SciPy stack
  • Unit testing
  • Integrated Documentation (reStructured Text)
  • ORM
43

Advanced Analytics Developer Resume Examples & Samples

  • To develop intellectual property – statistical, predictive & other analytic models – that drives Big Data applications
  • To develop solutions using Microsoft Data Platform
  • To be up-to-date with newest Microsoft Azure analytics solution releases, like HD Insight, Cortana, Machine Learning, etc
  • To learn and share acquired knowledge with team members
  • To create proof of concepts (POC) that enable sales teams
  • Be able to travel
  • Good programming skills
  • Agile and TDD mind set and strive for excellence through continuous delivery
  • Decent knowledge and interest in multiple technologies, like Azure, Hadoop, Java, ETL tools, NoSQL
  • Experience with data integration, data analytics, and Big Data, business process automation
  • Strong willingness to learn new things and share them with others
  • Ability to manage own deliverables and be honest about status
  • Team oriented and open-minded
44

Cognitive & Analytics Developer Resume Examples & Samples

  • Implementing analytics and cognitive solutions that involves working together with product owner and iteration manager to gather and size the requirement, onboard the application, perform application development in Framework manager and in Cognos BI as well as ensuring that reports developed are properly tested and deployed
  • Supporting the operation of existing Analytics assets and performing regular maintenance
  • Taking part in new projects to convert reports from other vendor applications to Cognos BI
  • Developing new applications for mobile and building other cognitive assets from scratch on IBM strategic platform, using open source technologies based on preliminary requirements closely consulting with our internal client representative
  • Following the rules, guidelines and recommendations of Cognitive Enablement team
  • Supporting the communication between clients and Cognitive Enablement team. Directly communicating with clients in case of any system changes, outages are affecting the asset deployed
  • Educating clients about the use of Cognitive and Analytics tools and regarding the capabilities of additional, new solution offerings. Searching the areas and looking for the gaps where any education is needed, making proposal for it as appropriate
  • Frequently reporting to management (to project manager or functional manager) about status of project activities, actions, tasks, blockers; documenting completed and closed items
  • Developing own skills and knowledge with fitting to business strategy. Building the gathered knowledge into team knowledge
  • Input to the sizing of incoming development requests
  • Represent clients towards technical support team, direct communication with clients and to any service level team in any issue handling
  • Building own network of technical experts
  • Being innovative in applied cognitive and analytics techniques and business processes considering possible risks
  • Experience in business analytics (SQL, relational DB, working with cubes is a plus)
  • Experience with ETL technologies
  • Experience in app development (Nodejs, Angular, Ionic 2, Kafka, Cassandra, Spark)
  • Financial and/or accounting background /knowledge
  • Self-education skill
  • Creative and proactive thinking
  • Working in a multinational environment
  • Teaming and collaboration
  • Flexibility/adaptability
  • Cognos BI, SPSS, DataStage and PureData skills
  • Knowledge of Python
  • Knowledge of Watson technologies
  • BlueMix skills
45

Iris Analytics Developer Resume Examples & Samples

  • You are passionate about asking and answering questions in large datasets. You have a strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you
  • You have comfortable with or are highly motivated to learn and apply database tools and statistical predictive models by analyzing large datasets with a variety of tools (R, SQL, Microsoft PowerBI, Python and Tableau)
  • You desire a fast paced, collaborative and iterative environment. You love learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics
  • You are curious and enjoy diving deep into data to find answers to yet unknown questions and have a natural desire to go beneath the surface of a problem. You are a thinker who can ask the right business questions
  • You ask relevant questions and possess the skills to build algorithms necessary to find meaningful answers
  • You think strategically about how to use data to drive competitive advantages
  • You can creatively visualize and effectively communicate data findings and insights in a variety of formats
46

Iris Analytics Developer Resume Examples & Samples

  • Why work with us?
  • Life at Dell means collaborating with dedicated professionals with a passion for technology
  • When we see something that could be improved, we get to work inventing the solution
  • Our people demonstrate our winning culture through positive and meaningful relationships
  • We invest in our people and offer a series of programs that enables them to pursue a career that fulfills their potential
  • Our team members’ health and wellness is our priority as well as rewarding them for their hard work
47

Iot Analytics Developer Specialist Resume Examples & Samples

  • Minimum 5 years’ experience with data architecture, data modeling and ETL development
  • Minimum 3 years’ experience working with big data technologies to ingest, process and store structured and un-structured data in rest and in motion using Hadoop, Kafka, Spark, Microsoft Azure and/or Amazon Web Services (AWS) technologies –is mandatory
  • Master’s degree in Computer Science, Mathematics, Engineering, or related
  • Minimum 5 years’ experience in delivering data organizing and storage solutions in traditional and Big Data environment
  • SCOOPE, FLUME, KAFKA SKILLS
  • SQL coding skills
  • Python coding skills
  • Java software development skills preferred
  • Spark (Scala and Java) coding skills highly desired
  • Hive, HBase, Impala coding skills
  • UNIX / Linux shell scripting skills
  • MICROSOFT AZURE POWER-SHELL SCRIPTING HIGHLY DESIRED
  • Experience in BI reporting and data visualization -
  • Track record with a Blue Chip consulting firm, outsourcing firm or system integrator driving client engagements focused on Big Data and Analytics
  • High degree of drive, energy, self-confidence, commitment and flexibility appropriate to a client-facing environment
  • Confident, intelligent, self-motivated and results oriented individual with excellent numeric, analytic, interpersonal and presentation skills
48

Analytics Developer Resume Examples & Samples

  • The Equity Analytics team is seeking a developer to participate in a major initiative to migrate our flagship product Portfolio WebBench to a strategic set of technologies (including, HTML5, CORE Java, VoltDb, Netezza and Hadoop)
  • We are looking for a strong front end developer who has a solid experience in HTML5, the person will define our best practices and design patterns to migrate our GUI platform to the new technology framework
  • To participate the Front End development efforts and collaborate with other team members to in HTML5 based development projects
  • Incrementally deliver “minimal viable products” based on the Agile process to differentiate our product offerings
  • To participate in all Server side development and own the entire front to back development process end to end
  • Provide transparency to the development process and keep track of the projects and tasks by providing timely updates to any potential changes
  • Strong interpersonal skills to communicate and understand the business and technical requirements to Peers, Users, QA and RTB members
  • Provide a stable and control environment to minimize any issues and outages in production
  • Take full ownership of an issue and work with team members until a satisfactory resolution is provided
  • Need to have the confidence to make independent decision and justify the decision making processes
  • Bachelor’s/Master’s Degree in Computer Science or Engineering equivalent degree
  • Follow Agile methodology and participate in major IT projects with Web centric applications
  • Experience in Web related UI experience in Flex, HTML5 and JavaScript
  • Experience in Web related Java experience in J2EE, Servlet, XML and MVC design pattern
  • Experience in database experience, efficiently implementing queries and fine tune the performance of the system if necessary
  • Detail oriented and proven ability to understand business requirements and transform into fully functional technical solution
  • Practical experience using source control systems including branching and merging e.g. GIT and SVN
  • Experienced in financial markets and applications, including algorithms, market data feeds and API’s, order routing protocols, and the complete front-to-back trading flow
  • Experience with high volume environments with demanding needs for low-latency
  • Ability to work within a large enterprise cooperatively, to deliver to a specific business desire while enhancing the corporate environment as a whole
  • Experience in developing multithreaded systems and knowledge of thread synchronization techniques
  • Ability to work with other remote teams
  • Excellent communication, problem-solving, analytical, and numerical skills
49

Analytics Developer Resume Examples & Samples

  • Collaborate in an agile development model by optimizing access patterns (queries, query sequences, commands) for MongoDB
  • Configure MongoDB instances and replica data sets
  • Automate routine tasks with self-developed scripts using open-source tools
  • Maintain database, improve performance, and anticipate capacity needs
  • Coding skill with at least one of Python, PHP, Perl, or Java
  • Node.js and .NET programming
  • Linux proficiency (as a power user and/or administrator)
  • Experience with database replication and scaling issues
  • Solid knowledge of MongoDB and other NoSQL database concepts
  • Successful experience working in a team environment
  • Willingness to work flexible / odd hours (as needed)
50

Analytics Developer Resume Examples & Samples

  • A degree in a quantitative field such as Mathematics, Computer Science, Engineering etc
  • Hands on experience developing Tableau dashboards
  • The ability to extract data from databases using SQL
  • Advanced skills in Excel (VBA)
  • Experience using Tableau server
  • Experience with big data tools and techniques
  • Programming knowledge in R/Python or similar
  • An understanding of energy market fundamentals
  • An understanding of statistical learning techniques (regression, clustering etc.)
  • Hands on experience with large geospatial datasets
51

Analytics Developer Resume Examples & Samples

  • Gather and document data requirements from customers. Analyze and translate requirements into technical specifications, process and work flows
  • Analyze business requirements and source systems to design and develop solutions using a variety of toolsets. Produce the deliverables requested utilizing the most appropriate analytic tools while incorporating process efficiencies
  • Extract, transform and load basic data into database as required utilizing the most appropriate tool
  • Produce relevant, standard, or custom information (reports, dashboards, charts, graphs and tables) from various data sources by querying data and generating the associated output. Distribute and disseminate reports to applicable agencies, researchers, management and other customers
  • Analyze and validate output and metrics to ensure data quality, reliability and integrity
  • Document project/work assignments to include all needed technical documentation such as source to target mappings, data sources, definitions, methodologies, contact information, output requirements or other information to ensure continuity of process
  • Interpret basic data and associated deliverables (reports, dashboards, interactive reporting, charts, graphs and tables) in plain business language for executive & clinical staff. Effectively summarize information and creates intuitive/digestible information by selecting visualizations that are fit for purpose
  • Proficient in the use of personal computers and related software applications
  • Knowledge of programming languages such as SAS, SQL, R, or STATA
  • Strong analytic skills, data manipulation, and troubleshooting
  • Ability to collect, maintain, and analyze basic data
  • Ability to generate basic reports
  • Ability to work independently and as part of cross-functional teams
  • Ability to produce data in a clear and understandable manner meeting user requirements
  • 1 year of experience minimum
52

Text Analytics Developer Resume Examples & Samples

  • Master’s degree or higher in Computer Science or a related field
  • 2 to 5 years of relevant experience
  • Strong background in data structures and algorithm design
  • Solid understanding of natural language processing, machine learning and speech to text applications
  • Proficient in C/C++ programming
53

Business Analytics Developer Resume Examples & Samples

  • Design and build analytics solutions that deliver transformative insights from extremely large data sets
  • Design, develop, and implement web applications for self-service delivery of analytics
  • Design and develop APIs, database objects, machine learning algorithms, and necessary server-side code to support applications
  • Work closely with team members to quickly integrate new components and features into current application ecosystem
  • Continuously evaluate industry trends for opportunities to utilize new technologies and methodologies, and implement these into the solution stack as appropriate
54

Risk Adjustment Analytics Developer Resume Examples & Samples

  • Knowledge of EDI claim formats (837I, 837P, etc.) and risk adjustment payment models (CMS-HCC and HHS-HCC), a plus
  • Experience with relational databases and knowledge of query tools and statistical software is required. Must be able to manipulate large sets of data and possess strong analytical and problem solving skills
  • Must be proficient in developing and executing SAS or SQL query language as well as other programs including Microsoft Word, Excel, Access, PowerPoint, Outlook, etc
  • Defines and establishes reports and tools necessary to track data through the entire reporting lifecycle. Establishes audit controls to ensure data (claims, pharmacy, enrollment, etc.) can be tracked and traced from ingestion to reporting all the way through to a positive disposition by CMS
  • Responsible for updating and maintaining databases and overseeing management of information required for data analytics
  • Implements and manages data reconciliation processes between the Health Plan, vendor(s) and CMS
  • Collaborates with internal program managers to develop requirements for business performance reports. Designs and builds monthly reports and provides notations of performance deviations and anomalies
  • Provides analytic consultation to other team members, or external customers (colleagues, vendors, providers, etc.)
  • Develops and manages RAPS, EDS, and EDGE error correction processes, and manages reporting of discrepancies to CMS. Works with claims, enrollment, pharmacy subject matter experts to make recommendations for system edits and guidance on error correction for EDGE, RAPS and EDS errors
55

Senior Securitized Product Analytics Developer Resume Examples & Samples

  • Minimum 10 years of hands-on industry development experience in C++
  • Expert level knowledge and industry experience in design and development of large scale, data intensive analytics services
  • Minimum 5 years Hands-on experience and extensive knowledge of high throughput distributed systems
  • Hands-on experience and technical knowledge of messaging, middleware, caching and data storage technologies
  • Hands-on industry experience in design and implementation of automated regression test frameworks
  • Knowledge and experience with SQL is a plus
  • Experience in financial industry specifically Fixed Income Analytics and Technology is a big plus
  • Experience in supporting Front-Office and trading desks is a plus
56

Tealium & Adobe Analytics Developer Resume Examples & Samples

  • Utilizing technical expertise; Creates system requirements, performs design and analysis, and coding and unit testing of complex to highly complex system functionality and/or defect correction across multiple platforms. Identifies ideas to improve system performance and impact availability. Resolves complex technical design issues
  • Provides functional and/or technical guidance in evaluating applications systems or evaluating requests for proposals. Coordinates changes and influences and prioritizes tasks with business or technical departments
  • Analyzes and influences technical, system, and/or user requirements. Identifies and creates solutions to improve system performance and availability. Facilitates root cause analysis of system issues to minimize impact and future occurrences
  • Creates system documentation/play book(s) and serves as a lead technical reviewer and contributor in requirements, design and code reviews. Typically serves as a resource to the business
  • Develops accurate estimates on work packages and ensures the accuracy of estimates developed by less experienced internal and third party team members. Analyzes and designs specifications for less experienced internal and third party team members to execute. Acts as a technical resource throughout the development life cycle. May also actively contribute to the technical and soft skills development of team members
  • Assists team leads and management with delegation of technical work packages to cross-functional and third party team members for execution through the full development life cycle. Keeps management appropriately informed of progress and issues
  • Coordinates system application transition from development teams to maintenance and production teams, and/or constructs and implements necessary controls to assure system/application traceability
57

Analytics Developer Resume Examples & Samples

  • 3+ years of experience in delivering IT and/or big data solutions
  • Working knowledge of relational data bases, data structures, and queries
  • UNIX/Linux systems
  • Experience in big data analysis and tools (Hadoop, Spark, Drill, etc..)
  • Project Management experience including planning, development, defect management, and status reporting
58

Image Analytics Developer Resume Examples & Samples

  • Strong numeracy and developmental skills, being able to exploit published scientific literature if needed
  • Strong communication, interpersonal and creative skills
  • Able to work under own initiative and in a team
  • Able to acquire new skills and knowledge rapidly and share them with others
  • Adaptability to changes in tasks / priorities
  • Image processing techniques, i.e. working with 2D data arrays
  • Machine Vision, Pattern Recognition and working with open source tools
  • Programming skills in Python, or with sufficient programming skills to learn Python
  • Familiarity with relevant open source tools, such as (but not restricted to) Scikit-Image, Scikit-Learn, OpenCV
  • Understanding of the basic principles and applications of remote sensing can be provided ‘on the job&#8217
59

Securitized Products Analytics Developer Resume Examples & Samples

  • Strong Java programming skills
  • Familiar with Spring, Hibernate, Unit testing like Junit, build tools like Maven
  • Demonstrated problem solving
  • Recent experience working with large scale fixed-income analytics systems, preferably in mortgage backed securities
  • Understands and uses best-practice software engineering skills
  • Must be team oriented and have good interpersonal skills
  • Bachelor�s degree in computer science or engineering with a solid track record of delivery
  • Has gained knowledge of some Fixed Income products and analytics
  • Database skills, SQL and one or more of Sybase, Sybase-IQ on Linux and Windows
  • Working with Scala, C++ and/or C# is a big plus
  • Familiarity with a reporting tool/ framework, Akka will be an advantage
  • In depth understanding of MBS analytics or data
  • Advanced degree in Computer Science, Engineering or Finance
60

Analytics Developer Internship Resume Examples & Samples

  • Work with our business stakeholders to collect requirements and design data solutions to support the analytics needs of the business
  • Participate in the solution architecture and development of data solutions
  • Define key milestones
  • Develop data solution elements by leveraging semantic modelling and ontology framework techniques
  • Contribute to the development of the enterprise analytics platform
  • Develop data solutions using our core platforms technologies of Google Big Query and Tableau
  • Present incremental progress to key stakeholders, collect feedback and iterate over design/development
  • Taking creative and innovative approach to work
  • Maximising potential in self and others
  • Working with others to achieve goals and tasks
  • Able to work in a team as well as individually
  • Provide a customer focused service
  • Good communication (verbal and written)
  • Proficient in Database design and concepts, Reporting and analytics techniques and business user interaction
  • Prioritise and manage their own workload and be willing to learn (Essential)
  • Practical or conceptual knowledge of data solution design - data modeling, reporting solutions, data processing architecture for data warehousing or analytics (Essential)
  • Have experience of a co-ordination or administrative role (Desirable)
  • Proven previous experience of project or process management (Desirable)
61

Analytics Developer Resume Examples & Samples

  • Understand business measurement requirements and translate these requirements into a comprehensive technical implementation
  • Develop, customize and troubleshoot JavaScript analytics tracking code to ensure tracking is instrumented in support of a measurement plan
  • Collaborate with management, analysts and external partners to identify data collection issues and gaps
  • Recommend and implement analytics tracking code needed for ongoing reporting and analysis activities
  • Develop innovative strategies for tracking and tagging, working with internal and external teams to connect disparate data sources
  • Integrate Adobe Marketing cloud products with external and internal data sources for attribution and analysis
  • Conduct audits and troubleshoot tracking gaps to maintain data confidence and implement data standards
  • Maintain detailed documentation of data collection methods and dependencies
  • Partner with CMS development team
  • Stay abreast of new technologies and suggest improvements to enhance skills
  • Perform related duties as required. This position description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management
  • Minimum 3+ years in web analytics development
  • Demonstrated experience and leadership in implementing Adobe Analytics (SiteCatalyst, Omniture) and maintaining JavaScript libraries
  • Demonstrated experience with Adobe Dynamic Tag Manager and deploying diverse tag libraries through innovative strategies
  • Experience with data insertion and extraction via Adobe Analytics API
  • Advanced level of Excel, including building dashboards and report templates combining multiple data sources
  • Ability to work independently and balance competing priorities
  • Strong interpersonal and communication skills within all levels of the organization
  • Product Experience Matrix required: Adobe Analytics (SiteCatalyst, Omniture), Adobe Dynamic Tag Manager, Adobe Analytics for Mobile Apps, Google Analytics, Call analytics (Marchex, Invoca, CallRail, DialogTech, etc.), and Adobe Target
  • Product Experience Matrix preferred: Adobe Social, Adobe Media Optimizer, and Sitecore
62

Analytics Developer Resume Examples & Samples

  • M.S. or PhD in a relevant technical field: Statistics, Mathematics, Computer Science and Machine Learning
  • Knowledge of Unix/Linux is essential: Hadoop utilities, Java, and virtual environments
  • Strong understanding of the EETS supported businesses, their operations; and their key customers and transaction systems
63

Analytics Developer Resume Examples & Samples

  • Minimum of three years of data management, data interpretation and analysis experience to include writing reports or queries using Crystal Reports, SQL and/or similar reporting tools required
  • Bachelor's of Science in management information systems, health information management, computer science, or business administration OR equivalent combination of education/experience combined (one year of education equals one year of experience) required
  • Proficient in Microsoft Word, Excel, and Access required
  • Demonstrated analytical abilities to identify and comprehend opportunities for clinical quality and operational improvement through data analysis and interpretation required
  • Excellent communication and interpersonal skills needed for the variety of customer interactions associated with this position required
  • Must be a self-starter, exercise independent problem-solving skills and manage job priorities in a self-directed manner required
  • Strong analytical and critical thinking skills required
  • Proficient knowledge and application of Business Objects and Crystal Reports required
  • Strong interpersonal relations and technical competence required
  • Completion of Epic Clarity Data Model Certification within 60 days of completing Epic Business Intelligence Developer training class required
  • Recent project management experience preferred
  • Experience with EPIC modules including inpatient, billing, HIM, ASAP, EPIC Inpatient, and Ambulatory highly preferred
  • Clinical and business experience in a health care setting preferred
  • Advanced knowledge and application of Business Objects and Crystal Reports is preferred
  • Knowledge of Epic data models preferred
  • Knowledge of health care operations and structure, and use of information system applications in a practicing health care environment preferred
64

Analytics Developer Resume Examples & Samples

  • Candidates requiring visa sponsorship will not be considered for this position**
  • 8 years of extensive experience as MicroStrategy Developer, Architect & Administrator building projects and creating reports and Dashboards using MicroStrategy 9.0/9.0.1/ 10/10.2, Narrowcast Server, MicroStrategy Desktop, MicroStrategy Web, MDX Adapter, Office, MicroStrategy Intelligence Server and MicroStrategy Architect
  • Expertise in Desktop creating and integrating Microstrategy reports, objects (Attributes, Filters, Metrics, Facts, Prompts, Templates, Consolidation and Custom Groups) and Generic cubes
  • Extensively worked on designing schema and creating Facts, Attributes, Hierarchies and Transformations
  • Worked extensively on VLDB Properties for performance tuning
  • Extensively worked on creating Dynamic Dashboards with multi layout and used custom Widgets built on flex for specialized dashboard
  • Designed interactive and visually stunning Dynamic Dashboards using Report Services objects like Waterfall, Graph Matrix, Gauges, Micro charts Widgets and Grid/Graph combinations
  • Involved in the documentation of technical specifications of the Sales and Inventory Project
  • Created different Project Sources for different environments like production, testing and development
  • Extensively worked on Desktop to create Applications Objects, Reports and Dashboards (Documents & Scorecards)
  • Created different schema objects like Attributes, facts by using MicroStrategy Architect of the MicroStrategy BI Suite
  • Generated reports using Advanced Metric objects, Filters, Prompts and also created Customized Templates to facilitate the End users to create customized reports by choosing Filters, Metrics and Report Attributes
  • Involved in creating MicroStrategy objects like Metrics (Conditional, Transformational, Dimensional, and Compound), Filters, Prompts (Filter, Object), Templates and Reports
  • Generated different kinds of Pass-Through Functions and used for time filters like current month and previous year etc
  • Created Ad-hoc reports by gathering specific requirements from the different users
  • Involved in the troubleshooting and Performance Tuning of the reports using VLDB properties
  • Created Data mart Reports, Partition Mappings and Aggregate tables to improve performance of reports
65

Senior Analytics Developer Resume Examples & Samples

  • To architect, design and build analytics-focused full-stack Python solutions
  • Advocating and enforcing adoption of architecture standards, reusable code examples, and physical design best practices
  • Development of Python using single page applications using React or Angular
  • Assisting with the transfer of knowledge of python development skills in the enterprise
  • Supporting a service oriented data architecture as required
  • Designing solutions that fit within the enterprise's larger data integration strategy or initiative
  • Providing coaching and mentorship to junior members of the team
  • Exercising strong communication, collaboration, and ownership of code and projects
  • Bachelor’s Degree in Computer Science or Mathematics/Statistics and 6 or more years of experience in the Data Engineering area
  • Proficiency in Python (minimum 3 years) or other relevant programming language like Ruby, Java, C++, or Scala
  • Experience and personal involvement in turning development code into production code that is deployed to end users
  • Results-oriented, motivated individual with the ability to work with limited direction and with a sense of urgency
  • Prior work with quantitative researchers and data scientists
  • Ability to help transform scientific code in R or Python into production quality code
  • Knowledge or experience in the Insurance or Financial industry
  • Knowledge and experience with traditional and non-traditional database technology (SQL, Hadoop)
66

Analytics Developer Manager Resume Examples & Samples

  • BA/BS/Masters degree in computer science, mathematics, statistics, engineering, management or related field is required. Advanced degree is highly desired
  • 5 years (or more) experience using strong statistical and analytics skills to derive actionable insights from operational performance data
  • Must be able to communicate effectively at multiple levels and explain extremely detailed information to audiences of varying backgrounds and degrees of understanding
67

Senior Analytics Developer Resume Examples & Samples

  • Use your deep knowledge of customer behaviour to define performance metrics with your stakeholders
  • Grounded in deep analysis of our datasets, make recommendations to improve our customer-facing products (eg. Mendeley, Scopus,…) together with product managers, designers and engineers
  • Optimise these products through continuous testing and guide the product teams through iterative data-driven product optimisation
  • Build models to forecast product performance and predict user behaviour
  • Innovate and discover new insights by diving deeply into the data combining various sources (including database and web-analytics data sources) from across the business, to support decisions and resolve strategic questions
  • Effective and engaging communication of insights and information through presentations, reporting and dashboards to all levels of the organisation
  • Advocate for a data-driven culture and help your stakeholders in how to interpret results, train them to use our Web analytics software