Key skills
Product AnalyticsBusiness IntelligenceData AnalyticsSaaS environmentSQLSnowflakeTableauPHI handlingHealthcare data securityFinancial data analysisBilling metrics analysisRevenue cycle managementProblem structuringConsultative leadershipAnalyticsSaaSLeadershipRoadmap StrategyCustomer Success
About this role
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices, and they are seeking a Senior Product Business Analyst to advance their product analytics program. The role involves translating complex product usage metrics into actionable insights, guiding roadmap strategy, and enhancing decision-making across platform teams.
Responsibilities:
- Define and evolve Tebra’s product performance metrics and reporting infrastructure to ensure visibility into active usage (DAU/MAU) and feature adoption
- Serve as a strategic business partner to Product and Engineering leadership by translating usage data into actionable insights that guide roadmap prioritization
- Deliver leadership-ready analyses and Tableau dashboards that influence decision-making and measure progress toward product goals
- Build and maintain scalable SQL models in Snowflake that power self-service analytics and trusted product reporting
- Establish unified reporting standards to create a consistent view of the user journey across Product, Engineering, and Finance
- Partner closely with cross-functional analysts in Customer Success, Growth, and Finance to draw insights connecting product usage to business metrics like retention, expansion, and pricing strategies
- Build and maintain a comprehensive data dictionary for the product analytics function to ensure data literacy across the organization
Requirements:
- 5+ years of experience in Product Analytics, Business Intelligence, or Data Analytics within a SaaS environment
- Consultative leadership aligning and guiding product teams to optimize user flows, feature stickiness, and overall platform health
- Expertise in SQL, Snowflake, and Tableau to build automated analytics models that drive self-service insights at scale
- Experience handling PHI (Protected Health Information) and navigating the security requirements of highly regulated healthcare data environments
- Demonstrated success analyzing financial data, billing metrics, or revenue cycle management (RCM) workflows within a product context
- Strong ability to break down ambiguous business problems into structured, solvable components for technical teams