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Innovu

Analytics Engineer

Innovu

Analytics Engineer at Innovu maintaining and extending data mart builds and SQL templates. Focused on data reliability and transforming healthcare data for analytics.

Posted 6/5/2026full-timeRemote • Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $100,000 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftPandasPostgresPythonSQL

About the role

Key responsibilities & impact
  • Maintain and extend existing data mart builds: claims aggregation, financial metrics, clinical metrics, and curated analytical tables that power Innovu’s SaaS platform
  • Author, test, and maintain metric SQL templates against Innovu’s canonical data model (medical claims, pharmacy claims, eligibility, provider, plan design)
  • Build and maintain data pipelines in Python and SQL (Redshift, PostgreSQL, S3-based integrations)
  • Profile and validate third-party data feeds during vendor onboarding (new data sources land regularly)
  • Investigate data quality issues from warehouse transformation logic through final output
  • Produce analytical deliverables for clients and internal stakeholders (PMPM trending, cohort analysis, cost drivers)
  • Write clear documentation for metric definitions, data lineage, assumptions, and known limitations
  • Participate in monthly rotation for support triage (incoming tickets), release management, and mart build monitoring
  • Participate in code reviews and contribute to team standards

Requirements

What you’ll need
  • 3-5 years in analytics engineering, data engineering, or a quantitative analyst role where you owned metric definitions
  • Strong SQL (window functions, CTEs, complex multi-table joins across large datasets; MPP warehouse experience preferred)
  • Python for data work (pandas, scripting, automation, testing; not just notebooks)
  • Experience building metrics from raw transactional data and validating them against business expectations
  • Comfort working across the stack: you’ll touch transformation logic, warehouse tables, and documentation
  • Clear written communication; you’ll document metrics for both engineers and business stakeholders
  • Git-based development workflow; pull requests and code review

Benefits

Comp & perks
  • Low cost medical, dental, and vision insurance
  • 401(k) plan with an employer match
  • Company paid life insurance, short-term disability, and long-term disability coverage
  • Paid time off
  • Paid parental leave
  • Mission-driven culture where your contributions have real impact
  • Flexible work arrangements
  • Collaborative work environment
  • Growth and advancement opportunities

ATS Keywords

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Hard Skills & Tools
SQLPythondata pipelinesdata validationdata profilinganalytical deliverablesmetric definitionsdata transformationpandasMPP warehouse
Soft Skills
clear written communicationteam collaborationproblem-solvingattention to detaildocumentation skills