Sr. Analytics Engineer

Axogen is committed to building and maintaining a strong and gratifying company culture that fosters professional growth. Our hands‑on and personal approach makes transitioning to a new job a seamless and enjoyable process. Most benefits are effective on day one!

Axogen is an equal opportunity employer and does not discriminate against applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or veteran status.

• Friendly, open, and fun team culture that values unique perspectives
• Company-wide dedication to profoundly impacting patients’ lives
• Comprehensive, high-quality benefits package effective on date of hire
• Educational assistance available for all employees
• Matching 401(k) retirement plan
• Paid holidays, including floating holidays, to be used at your discretion
• Employee Stock Purchase Plan
• Referral incentive program

Our business purpose is to restore health and improve quality of life by making restoration of peripheral nerve function an expected standard of care. We aim to lead the markets we serve by always requiring the solutions we offer patients and caregivers provide an improved benefit-to-risk profile as compared to existing standards of care. To ensure we deliver improved benefit-to-risk solutions, we will guide and expect the market and design requirement specifications underlying our engineering, business development, and clinical research activities, objectively target advancements in standards of care.

The Sr. Analytics Engineer will report to the Sr. Manager, Business Analytics and serve as the technical owner of Axogen's enterprise semantic models, KPI framework, and BI architecture supporting Commercial, Finance, Operations, and Executive reporting.

This role partners with Business Analysts, Finance Business Partners, Commercial Operations, FP&A, and IT to ensure consistent metric definitions, scalable reporting, and high-quality decision support. The ideal candidate has deep expertise in dimensional modeling, DAX, semantic layer design, performance optimization, Power BI, and Microsoft Fabric best practices.

• Bachelor's degree in Information Systems, Computer Science, Business Analytics, Finance, Engineering, or a related field.
• Minimum 5 years of experience in Business Intelligence, Analytics Engineering, Data Modeling, or a related role.
• Advanced experience developing enterprise Power BI solutions, including semantic models, reports, dashboards, and governed datasets.
• Expert-level DAX development experience and strong understanding of calculation logic, reusable measures, and KPI frameworks.
• Strong understanding of dimensional modeling, data warehousing, and semantic layer design.
• Strong SQL skills and working knowledge of relational database structures.
• Experience working with Finance, Commercial Analytics, Sales Operations, or Business Intelligence functions.
• Excellent communication, stakeholder management, documentation, and problem‑solving skills.
• Ability to manage multiple projects and priorities in a fast‑paced environment.

• Experience with Microsoft Fabric, Power BI Premium, or enterprise Power BI deployment models.
• Experience with Tabular Editor, calculation groups, model scripting, or related tabular model development tools.
• Experience with Azure Dev Ops, Git, PBIP, CI/CD, and deployment pipelines.
• Experience designing enterprise semantic models and KPI governance frameworks.
• Familiarity with Databricks, Azure SQL, cloud data platforms, and modern data-warehouse architectures.
• Experience supporting executive reporting, FP&A, Commercial Analytics, Sales Operations, or Operations reporting.
• Relevant medical device or biopharma experience a plus.

The specific duties of the Sr. Analytics Engineer include but are not limited to:

• Own and maintain enterprise Power BI semantic models supporting Commercial, Finance, Operations, and Executive reporting.
• Design and manage model architecture…