Data Science Associate - FEP

Wellmark, Inc.•Des Moines, IA

12h•Hybrid

About The Position

The Data Science Associate is responsible for extracting, integrating, analyzing, and interpreting data from internal and external sources to develop actionable intelligence, draw conclusions, and support recommendations that advance Federal Employee Program (FEP) business goals. The role partners with FEP Operations, program leadership, and cross-functional stakeholders to inform strategy, identify opportunities and risks, and support data-enabled decision-making. It builds relationships across divisions and departments, understands business needs, and translates complex data into meaningful insights and recommendations for leadership. The position supports FEP-specific systems, applications, and data sources and may participate in BCBSA FEP workgroups, conferences, and other collaborative forums. As part of the FEP Product Team, it works in an Agile environment with business and technical partners to advance FEP priorities.

Requirements

Meet one of the stated educational/technical requirements: a bachelor’s degree in a quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics; or less than one year of hands-on experience in data or statistical analysis.
For the experience pathway, have hands-on data or statistical analysis experience that includes data collection, joins, analysis, statistics, and/or data presentation, with exposure to analyzing databases and files using SQL dialects and statistical programming languages.
Strong knowledge of formulas and data visualizations.
Exposure to business intelligence or analysis platforms.
Be naturally curious and able to drive business decisions and solutions.
Effective verbal and written communication skills, including the ability to present complex information.
Be proactive and self-starting, with the ability to manage priorities through effective time management.

Nice To Haves

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.

Responsibilities

Participate in or conduct discovery sessions and stakeholder interactions to understand business needs, identify problems, understand project objectives, and gather requirements for a preliminary plan.
Research and gather data from appropriate sources; source, extract, assemble, collate, and consolidate business data needs.
Profile and prepare data for analysis.
Build and execute models to analyze business outcomes using tables, graphs, charts, algorithms, forecasts, and trends.
Interpret results and identify key findings that quantify business value.
Develop narratives that summarize and convey findings to stakeholders and make recommendations based on those findings.
Create, update, and maintain production schedules for reporting, ensuring reports and presentations are completed on schedule.
Manage multiple projects simultaneously and support corporate process improvement initiatives within aggressive timeframes.
Collaborate with peers to identify reporting objectives and develop reports and analyses that meet stakeholder needs and support Wellmark’s value proposition.
Wrangle data from varied data sets and assemble normalized and enriched data assets that enable insights, solutions, and visualizations.
Perform and document data profiling, quality assessment, source consolidation, aggregation, and other data manipulation to understand data formats, source systems, file sizes, and related characteristics.
Create, update, and maintain documentation and procedures for sourcing, analyzing, and preparing internal reporting and presentations, ensuring data-source quality and integrity.
Perform other duties as assigned.