Senior Business Intelligence Engineer- Commission and Heap analytics

Humana Inc. is a leading U.S. healthcare company that provides insurance and healthcare services. They are seeking a Senior Business Intelligence Engineer to lead analytics initiatives for sales commission programs and digital product analytics, partnering with various teams to ensure accurate reporting and actionable insights.

Responsibilities:

• Design, develop, and maintain end-to-end commission analytics supporting sales incentive plans, payouts, and performance tracking
• Build and validate complex commission logic, ensuring accuracy, transparency, and audit readiness
• Partner with Sales Operations and Finance to support compensation plan design, forecasting, and trend analysis
• Create scalable dashboards and self-service reporting that provide visibility into quota attainment, earnings, and sales performance
• Own and optimize Heap instrumentation, ensuring accurate event tracking and data governance
• Translate digital engagement data into actionable insights across patient, provider, and payer journeys
• Develop funnels, behavioral cohorts, and retention analyses to inform product and business decisions
• Partner with Product and Engineering teams to define analytics requirements and success metrics
• Develop and maintain data models, ETLs, and semantic layers supporting commission and product analytics
• Optimize performance and reliability of BI systems and dashboards
• Establish best practices for data quality, validation, and documentation
• Mentor junior BI engineers and analysts
• Serve as a trusted analytics partner to Sales, Finance, Product, and Leadership teams
• Present insights and recommendations to both technical and non-technical audiences
• Support ad-hoc analysis and executive-level reporting requests

Requirements:

• 6+ years of experience in Business Intelligence, Analytics, or Data Engineering
• Expertise in SQL and relational data modeling
• Hands-on experience with commission systems (custom or vendor-based)
• Experience using Heap or similar digital analytics platforms
• Experience building dashboards using tools such as Tableau, Power BI, Looker, or equivalent
• Strong understanding of data validation, reconciliation, and audit controls
• Ability to work cross-functionally in a regulated environment
• Healthcare industry experience (payer, provider, life sciences, or health tech)
• Experience with HIPAA-compliant data environments
• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift)
• Experience supporting Sales Compensation or Revenue Operations teams
• Knowledge of Python or dbt for analytics engineering
• Experience working with large-scale event data