About The Position

Our Analytics group provides the Benefits Data Platform for a large client, including data models, custom analyses, and dashboards that drive their benefits strategy. We are seeking a strong analytics engineer to join this team to expand our capacity and output. This is a hands-on, blended role: part analytics engineering (data models and pipelines) and part analysis (dashboards, ad hoc analysis, and other client-facing deliverables). You'll join an existing high-performance delivery team to work deeply with healthcare and benefits data, including claims, eligibility, clinical, HR, and engagement, in service of strategic questions for this employer.

Requirements

  • 6+ years experience in analytics engineering, data analysis, business intelligence or similar roles
  • 6+ years experience with SQL and Python
  • 3+ years experience working with benefits and healthcare data, including medical claims, eligibility, and pharmacy data sets
  • Demonstrated experience conducting analyses and/or building dashboards in benefits-related contexts
  • Demonstrated experience engaging directly with clients in a professional, structured way, including gathering requirements, setting expectations, and communicating technical findings clearly
  • Ability to work independently in ambiguous, evolving environments
  • Proven ability to troubleshoot and resolve complex data quality issues

Nice To Haves

  • Experience working with Power BI and Microsoft Fabric
  • Familiarity with Tuva Project
  • Familiarity with common risk scoring and benchmarking models

Responsibilities

  • Design, build and improve Power BI dashboards that answer recurring and ad hoc strategic questions
  • Develop and extend the data models that power these dashboards and analyses, utilizing dbt within a Microsoft Fabric environment
  • Build and maintain pipelines that populate these data models
  • Validate data quality and accuracy across claims, eligibility, clinical, HR, and engagement data, investigating and resolving discrepancies
  • Support custom and ad hoc analyses on strategic benefits questions
  • Working with existing data sets as well as onboarding new benefits data domains and providers
  • Work in close partnership with the rest of the client's Analytics team.
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