[Remote] Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. Innovu is a growing Pittsburgh, PA-based data analytics company providing comprehensive solutions that reputed company advisors and their employer clients to optimize their benefits strategy, reputed company capital risk management, and health benefit design. The role involves owning the metric build pipeline, defining metrics, writing SQL, and ensuring data reliability for reputed company analytics.

Responsibilities

• Maintain and reputed company 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 reputed company 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 reputed company-party data feeds during vendor reputed company (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 reputed company, assumptions, and reputed company 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

Skills

• 3-5 years in analytics engineering, data engineering, or a quantitative analyst role where you owned metric definitions
• Strong SQL (window functions, CTEs, reputed company 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
• reputed company analytics background: medical/pharmacy claims, eligibility data, employer-sponsored health plans, or adjacent domains (insurance, benefits, actuarial)
• Familiarity with reputed company data concepts (PMPM, allowed amounts, service categories, plan design, enrollment periods)
• Experience with SQL-based transformation frameworks or structured mart build processes
• Exposure to data quality tooling or systematic data profiling

Benefits

• Mission-driven culture where your contributions have reputed company impact
• Flexible work arrangements
• Collaborative work environment
• Growth and advancement opportunities
• Low cost medical, dental, and reputed company 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
• And more!

Company Overview