Business Intelligence Analyst
- Collaborate with data engineering and product teams to ingest and normalize data from multiple sources (EHRs, 3rd party aggregators, benefit verification systems, etc.).
- Ensure data quality, consistency, and completeness across all reporting pipelines.
- Working with the data engineering team, design and maintain scalable data models that support evolving reporting needs across MVP and future phases.
- Partner with the Senior Reporting Leader to define KPIs and metrics aligned with strategic goals (e.g., time to therapy, BI/BV/PA approval and accuracy rates, user engagement).
- Prepare datasets for visualization and advanced analytics, ensuring they are accurate, timely, and well-documented.
- Serve as the connective tissue between data engineering, product, and commercial teams to ensure data is usable and aligned with business needs.
- Support ad hoc data requests and exploratory analysis to inform product decisions and customer conversations.
- Strategic Impact: You will be the data engine behind a platform that could define the future of medical benefit drug access—an area with no current industry leader.
- Greenfield Opportunity: With no legacy systems to constrain you, you’ll help build the data architecture from the ground up.
- High Visibility: Your work will directly support executive decision-making and be showcased to top-tier biopharma clients.
- Collaborative Innovation: You’ll work alongside a senior analytics leader and, soon, a visualization specialist to create a best-in-class insights engine—not just dashboards.
- 3+ years of experience in data engineering, analytics, or a similar role.
- Strong proficiency in SQL and data modeling; experience with Python or R is a plus.
- Familiarity with cloud data platforms (e.g., Snowflake, Azure, FHIR).
- Experience working with healthcare or biopharma data is highly desirable.
- Strong communication skills and a collaborative mindset.
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