Senior Business Intelligence Developer
- Work arrangement
- Remote
- Occupation
- Data & Analytics
- Location
- US
- Compensation
- Not disclosed
- Apply by
- April 13, 2027
About this role
Accountabilities:
In this role, you will oversee reporting initiatives from initial discovery through development, validation, and delivery, ensuring that business needs translate into accurate and maintainable analytics.
- Own end-to-end reporting projects across pharmacy business lines, translating ambiguous requests into well-defined requirements, data models, dashboards, and final deliverables.
- Develop and maintain the semantic layer in LookML, including explores, views, dimensions, and measures, using clear business terminology and code-review practices.
- Ensure dashboards use appropriate dbt models, building or improving warehouse models when metrics require a stronger data foundation rather than relying on LookML-derived tables.
- Standardize metric definitions across the business, document them clearly, and address inconsistencies at the data-model level.
- Lead dashboard migrations by assessing existing usage, investigating metric definitions, identifying obsolete reports, and determining which logic belongs in the data warehouse.
- Deliver accurate client-facing reports shared with manufacturers, collaborating with account teams to reconcile figures, verify labels, and ensure internal caveats do not appear in external deliverables.
- Build and maintain reports containing protected health information (PHI), incorporating masking policies, role-based access controls, and Business Associate Agreement (BAA) obligations into the development process.
- Validate reporting outputs against source systems, investigate discrepancies, test edge cases, and communicate confidence in reported results.
- Mentor colleagues, share technical knowledge, and help unblock teammates to strengthen the team's overall delivery and development practices.
- Typically 4–7 years of experience developing business intelligence solutions on an established platform, including production dashboards used for business-critical decisions.
- Strong experience with Looker and LookML, or practical experience with Power BI, Tableau, or Domo combined with a genuine willingness to develop expertise in Looker.
- Advanced SQL skills, including window functions, careful join design, and the ability to identify join fan-out and other issues that can distort reporting results.
- Solid data modeling capabilities, including understanding table grain, identifying missing elements, and designing data structures that meet reporting requirements.
- Strong data visualization judgment, with the ability to select appropriate charts and present information clearly without unnecessary complexity.
- A disciplined approach to quality assurance, including source reconciliation, edge-case testing, and clear communication of data reliability.
- Ability to work closely with operations leaders and account managers, clarify ambiguous requests, and identify the underlying business questions.
- A collaborative mindset and willingness to mentor teammates and contribute to shared problem-solving.
- Strong understanding of healthcare data, protected health information (PHI), and HIPAA requirements.
- Excellent communication skills and the ability to support data-driven decision-making across business functions.
- Experience in healthcare, pharmacy, or another regulated-data environment, including practical knowledge of PHI, HIPAA, and BAAs.
- Experience with dbt, including improving data models and contributing changes through pull requests.
- Production experience with Snowflake or another cloud data warehouse, ideally including participation in a migration.
- Familiarity with Git-based BI development workflows, including version control, code reviews, development environments, and deployment promotion.
- Previous experience migrating a BI platform, including evaluating existing reports and identifying unused or redundant dashboards.
- Annual salary range of$115,000–$142,000.
- Additional benefits and perks are not specified in the provided job description.
Requirements:
The ideal candidate brings strong hands-on business intelligence experience, sound analytical judgment, and the ability to turn complex data into reliable business insights. Practical skills and demonstrated results matter more than formal academic credentials.