Data Science Associate - FEP

About the role

Responsible for extracting, integrating, analyzing, and interpreting data from internal and external data sources to develop actionable intelligence, draw conclusions, and support recommendations that advance Federal Employee Program (FEP) business goals.

Serves as an analytics partner to FEP Operations, program leadership, and cross-functional stakeholders, using data to inform strategy, identify opportunities and risks, and support data-enabled decision making. Builds strong relationships across divisions and departments to understand business needs and translate complex data into meaningful insights and recommendations for leadership.

The role will also support FEP-specific systems, applications, and data sources and, as appropriate, participate in BCBSA FEP workgroups, conferences, and other collaborative forums.

As a member of the FEP Product Team, the position will work within an Agile environment and collaborate with business and technical partners to advance FEP priorities.

Qualifications & Requirements

Required

• For consideration, you must meet one of the following educational/technical requirements:
• Bachelor's degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics.
• Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data presentation. Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages.
• Strong formulas and data visualizations knowledge.
• Exposure to business intelligence or analysis platforms.
• Naturally curious and ability to drive business decisions and solutions.
• Effective communication skills, both verbal and written, with the ability to present complex information.
• Proactive, self-starter and can manage priorities through effective time management skills.

Preferred

• Master's degree.
• Experience working with unstructured data sets.
• Experience developing project roadmaps and timelines.
• Demonstrated ability to build relationships and collaborate across divisions, departments, and organizational levels, including with business and technical stakeholders and leadership.
• Experience working in an Agile environment and/or as part of a cross-functional product team.
• Knowledge of or experience with the Federal Employee Program (FEP), Blue Cross Blue Shield Association (BCBSA), health insurance, or healthcare data.
• Experience working with multiple or complex data sources where data definitions, sourcing, or business rules may differ across systems or business areas, with an emphasis on data quality and integrity.
• Experience translating complex analytical findings into clear business recommendations that support strategic and operational decision making.

Additional Information

• Job Responsibilities a. Participate in or conduct discovery sessions and stakeholder interactions to gain business understanding and identify business problem. Understand the project objectives and gather requirements to build a preliminary plan.
• b. Research and gather appropriate data from various sources. Source, extract, assemble, collate, and consolidate data needs for the business.
• c. Profile and prepare data for analysis.
• d. Build and execute models to analyze business outcomes, using tables, graphs, and charts, as well as algorithms, forecasts, and trends.
• e. Interpret results, identify key findings to quantify business value.
• f. Develop a narrative to summarize and convey findings to stakeholders. Make recommendations based on findings.
• g. Create, update, and maintain a production schedule for reporting and ensure reports and presentations are completed on schedule.
• h. Manage multiple projects simultaneously and support corporate process improvement initiatives, meeting aggressive timeframes.
• i. Collaborate with peers to identify reporting objectives and develop reports and analyses that meet their need and drive Wellmark's value proposition for stakeholders.

j. Wrangle data from a wide variety of data sets and assemble into normalized and enriched data assets that enables new insights, solutions, and visualizations. Perform and document data profiling, quality assessment, source consolidation, aggregation, and other data manipulation efforts, to understand data formats, source systems, file sizes, etc.

k. Create, update, and maintain documentation and procedures for sourcing, analyzing, and preparing internal reporting and presentations. Ensure the highest quality and integrity of data sources.

l. Other duties as assigned.