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Capitalrx
Tableau Developer
datafull-timeRemote
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
healthcare
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About the role
Position Summary
We are seeking a Tableau Developer/Analyst who will own the design, development and evolution of high-quality dashboards and reports that drive client reporting and internal decision-making. This role emphasizes Tableau development in Tableau Cloud/Server, strong SQL skills against Snowflake, and close collaboration with Client Services and analytics stakeholders. Candidates will contribute to department projects by creating reliable, performant, and consistent visualizations aligned with governed metric definitions.
Why you’ll love working here
- We translate complex questions into clear, actionable insights that help the organization move faster and smarter.
- We build reliable, scalable data products that make decision‑making consistent and trustworthy across teams.
- We collaborate effectively with stakeholders to ensure analytics work aligns with real needs and drives meaningful improvement.
Position Responsibilities
Dashboard & Report Development
- Design, develop, and publish Tableau dashboards and data visualizations in Tableau Cloud/Server to support client reporting and internal analytics.
- Translate stakeholder requirements into clear, well-structured dashboards, optimizing usability (filters, parameters, navigation) and ensuring consistency of metric definitions.
- Package, version, and document in Confluence and GitHub; follow established branching and review practices.
Maintenance & Enhancement
- Own the ongoing health and evolution of Tableau reporting assets, including standardization, metric integrity, and user experience improvements across teams.
- Implement lightweight data quality checks and validation steps to confirm measures and dimensions are accurate and aligned to governed definitions.
- Coordinate updates and releases with the Analytics Platform team, including change notes and stakeholder walkthroughs.
Performance & Data Access
- Develop efficient data sources and queries for Tableau using Snowflake; apply best practices for extracts vs live, row-level security, and query optimization.
- Monitor dashboard performance and usage, iterating to reduce load times and improve responsiveness.
- Partner with Analytics Engineering on data modeling and definitions as needed for Tableau consumption.
Stakeholder Collaboration
- Collaborate with Client Services and business stakeholders to translate business questions into reporting requirements, iterate on solutions, and run demos to gather feedback and drive continuous improvement.
- Provide training and support for power users and business users adopting new dashboards.
- Contribute to a culture of data-driven decision-making across teams.
- Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance.
Minimum Qualifications
- Bachelor’s degree in a quantitative or business discipline (e.g., Computer Science, Data Science, Business Analytics, Information Systems, Statistics, Mathematics, Economics, Finance) or equivalent work experience.
- At least 3 years of experience developing and deploying Tableau dashboards in a production environment (Tableau Server and/or Tableau Cloud).
- Proficiency in writing complex, optimized SQL queries against Snowflake, including aggregations, window functions, and CTEs.
- Demonstrated ability to translate ambiguous business questions into clear, action-oriented visualizations.
- Experience with version control (Git/GitHub) and documentation practices.
- Strong communication skills and ability to work cross-functionally with both technical and non-technical stakeholders.
Preferred Qualifications
- Tableau Desktop Specialist or Certified Data Analyst certification.
- Exposure to Tableau Prep Builder for data cleaning and transformation.
- Experience developing or supporting client-facing reports in PBM, healthcare, or benefits administration.
- Familiarity with basic statistical concepts and experimental design (confidence intervals, A/B testing).
- Experience with dbt, Fivetran, or other modern data stack tools.
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