Senior Business Intelligence Engineer- Commission and Heap analytics

Humana

21h•$89,000 - $121,400•Remote

About The Position

Become a part of our caring community We are looking for a Senior Business Intelligence Engineer to lead analytics initiatives supporting sales commission programs and digital product analytics using Heap within a healthcare environment. This role partners with Sales Operations, Finance, Product, and Engineering to ensure accurate commission reporting, actionable insights, and scalable analytics solutions that support growth, compliance, and operational excellence.

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

Nice To Haves

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

Responsibilities

Commission Analytics & Reporting 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.
Heap Analytics & Product Insights 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.
Data Engineering & BI Solutions 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.
Stakeholder Collaboration 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.