Analytics Engineer

🕒 June 5

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $90k - $100k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Innovu

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

💼 Consulting

🏥 Healthcare

☁️ SaaS

💰 $4.6M Venture Round - Innovu on 2020-04

Consulting • Healthcare • SaaS

Innovu is a data analytics and consulting company that provides a SaaS platform for employers, benefits advisors, and plan sponsors to consolidate and analyze healthcare and human capital claims data. Its platform offers benchmarking, standardized reporting, custom analytic tools, and dedicated analyst support to identify cost-savings opportunities, improve benefit and risk programs (including workers' comp and retirement risk), and measure ROI. Innovu focuses on transparency, accountability, and actionable insights to help organizations control benefit costs and improve employee health outcomes.

📋 Description

• 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

• 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

• 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