Join our growing Business Analytics Team to design, build, and maintain business intelligence solutions. Partner with cross-functional teams to identify actionable insights that impact patient outcomes. Develop and optimize Qlik dashboards and data models.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
We're seeking an experienced BI developer to join a growing Business Analytics Team. Your work will support the company’s mission to improve access to lifesaving medications and make prescriptions more affordable, so patients can live their lives more fully.
About the position
- Fully remote working Central Time zone
- Competitive compensation
- Healthcare and benefits
- Requires ability to work in the U.S. without sponsorship
- W2 only, no C2C arrangement.
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What you'll achieve:
- Design, build, and maintain business intelligence solutions that support operational and performance reporting needs.
- Partner with cross-functional teams to identify actionable insights that directly impact patient outcomes.
- Build and support analytics data pipelines from a multi-cloud environment (Azure, AWS) and on-premises systems.
- Improve the scalability, performance, and reliability of BI solutions as data volumes and complexity grow.
- Strengthen data quality, transparency, and trust through well-defined data models, clear documentation, and validation checks.
- Develop and optimize Qlik dashboards and data models that make complex data easier to understand and act on.
- Contribute to ongoing improvements in BI standards, dashboard usability, and analytics workflows.
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About you:
- Bachelor's degree from a U.S. university in Computer Science, Information Systems, or a related field (or equivalent work experience).
- 6+ years of experience in business intelligence, analytics, or data development roles.
- Experience working in an AWS-based analytics environment (experience with Azure is a plus).
- Advanced SQL skills and a solid understanding of relational and analytical data structures.
- Familiarity with data warehousing and dimensional modeling concepts.
- Experience building or supporting ETL / ELT workflows across analytics and cloud platforms.
- Comfortable working with both technical and non-technical stakeholders to clarify requirements and explain results.
- Hands-on experience with Qlik, such as scripting, modeling, and dashboard development.
- Experience working in regulated industries such as healthcare or pharmaceuticals.
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