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Senior BI Developer
RxSenseSenior BI Developer building trusted analytics solutions for healthcare SaaS enterprise. Designing data models and visualizations for internal and client uses in a data-driven environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data models and metrics layers in Snowflake, ensuring data quality and consistency across business intelligence solutions. Proficient in translating complex business questions into actionable insights through effective dashboard and report design.
Highest-signal resume keywords
Snowflake Data ModelingSQL ProficiencyBusiness Intelligence SolutionsData AnalyticsHealthcare Technology Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingMetric DefinitionDashboard DevelopmentData TransformationSQL
Soft Skills
Strong Communication SkillsAbility to Translate Business Needs
Tools & Technologies
DbtThoughtSpotSigmaTableauPower BIQlik Sense
Industry Keywords
Pharmacy Benefits ManagementHealthcare TechnologyRegulated Industry
Tech Stack
Tools & technologiesCloudSQLTableau
About the role
Key responsibilities & impact- 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).
- 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.
- Champion data quality, consistency, and trust across all delivered analytics, ensuring numbers hold up under scrutiny.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Equal Opportunity and Affirmative Action employer