Senior BI Developer

• Design, build, and maintain gold-layer data models and a governed metrics layer in Snowflake using dbt — clean, tested, documented, and version-controlled.
• Establish metric definitions as the single source of truth: calculated once, reused everywhere, with clear ownership and change management.
• Push transformation and calculation logic upstream into the warehouse so the consumption layer stays simple, consistent, and high-trust — eliminating per-dashboard logic and manual rework.
• Partner with data engineering on the boundary between raw/silver pipelines (theirs) and the gold/metrics layer (yours).
• Structure and document metrics so they meet the governance and consistency requirements of AI agents and autonomous analytical systems.

• Build and maintain dashboards, reports, and analytics experiences in our enterprise BI platform that sit on top of governed metrics rather than reinventing logic.
• Translate business questions into both the underlying metric and the visualization that communicates it.
• Optimize dashboards and queries for high-volume data, proactively resolving performance bottlenecks before they reach users.
• Apply breadth across BI tooling and design patterns to recommend the right approach and distinguish good practice from bad.

• Build with coding agents and AI-assisted tooling as a primary part of the workflow — accelerating model development, dashboard creation, documentation, and testing.
• Independently set up and manage development environments, repositories, and the tooling needed to work effectively with agentic systems.
• Help establish team practices and standards for building analytics in the AI era.

• Champion data quality, consistency, and trust across all delivered analytics, ensuring numbers hold up under scrutiny.
• Contribute to platform and architecture decisions; identify opportunities for automation, templating, and process improvement.

• 5+ years of hands-on experience building business intelligence solutions — data models, metrics, dashboards, and reporting — in a data-driven organization.
• Strong grounding in data analytics as a domain: data modeling, metric definition, and the analytical questions behind the dashboards.
• Proven experience building data models and transformations in a cloud data warehouse (Snowflake) with
• Demonstrated breadth across BI tools (e.g., ThoughtSpot, Sigma, Tableau, Power BI, Qlik Sense), with the judgment to evaluate trade-offs and recognize quality design.
• Strong SQL proficiency.
• Fluency working in the AI era: building with coding agents, setting up development environments, and using AI tooling as a core productivity multiplier.
• Strong communication skills and the ability to translate business needs into technical deliverables.

• Experience in pharmacy benefits management, healthcare technology, or a related regulated industry.
• Experience building a governed semantic/metrics layer or moving transformation logic out of the BI layer and into the data warehouse.
• Familiarity with version control, CI/CD, and software-engineering practices applied to analytics.
• Experience building demo environments or client-facing reporting.

RxSense believes that a diverse workforce is a more talented and productive workforce.

As such, we are an Equal Opportunity and Affirmative Action employer.

Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin.

Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status.

We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.