Senior Business Intelligence Developer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Business Intelligence Developer based in United States.

The Senior Business Intelligence Developer will lead end-to-end reporting projects, transforming ambiguous business needs into reliable, actionable insights. Working across pharmacy operations and fulfillment data, you will shape the data models and reporting foundations that support informed decision-making. You will own the semantic layer, establish consistent metric definitions, and ensure dashboards deliver accurate, meaningful information. The role combines hands-on SQL development, data modeling, visualization, and stakeholder collaboration. You will also help modernize reporting infrastructure and improve the quality of client-facing analytics. With a strong focus on healthcare data privacy and compliance, you will contribute to a trusted, scalable business intelligence environment while mentoring teammates and promoting sound development practices.

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.

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.

• 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 abi…