À propos de ce poste Sr. Analytics Engineer chez Axogen
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.
Why you’ll love working at Axogen:
- 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
Axogen Mission and Business Purpose
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.
Job Summary of the Sr. Analytics Engineer
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.
Requirements of the Sr. Analytics Engineer
- 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.
Preferred Qualifications
- 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 DevOps, 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.
Responsibilities of the Sr. Analytics Engineer
The specific duties of the Sr. Analytics Engineer include but are not limited to:
Semantic Model Ownership
- Own and maintain enterprise Power BI semantic models supporting Commercial, Finance, Operations, and Executive
- reporting.
- Design and manage model architecture including fact tables, dimensions, hierarchies, relationships, perspectives,
- metadata, and security.
- Establish semantic model standards, naming conventions, and governance practices.
- Define and document KPI calculations, business rules, and reporting definitions.
DAX Development & KPI Governance
- Develop and maintain advanced DAX measures, calculation groups, and reusable business logic.
- Partner with business stakeholders to translate requirements into governed metric definitions.
- Ensure KPI consistency across Power BI reports, dashboards, and self-service analytics.
- Support complex financial, sales, territory, commission, pricing, and operational reporting requirements.
Performance Optimization
- Optimize semantic models for scalability, refresh performance, query speed, and usability.
- Identify opportunities to reduce model complexity, improve maintainability, and eliminate duplicate logic.
- Troubleshoot performance bottlenecks and implement best practices in model design.
- Support migration of BI assets to Microsoft Fabric/Databricks and enterprise semantic model architecture.
BI Development & Reporting
- Build and enhance enterprise Power BI datasets, reports, and dashboards.
- Support thin-report architecture and self-service analytics initiatives.
- Collaborate with Business Analysts and Finance Business Partners on reporting solutions.
- Assist in development of executive, commercial, operational, and financial reporting.
Governance & Deployment
- Support BI governance, change management, documentation, and release-management processes.
- Manage semantic model version control, testing practices, deployment pipelines, and production release standards.
- Utilize Git, Azure DevOps, PBIP, Tabular Editor, and Fabric development frameworks, as applicable.
- Maintain technical documentation, model inventories, and change logs.
- Implement Row-Level Security (RLS), security modeling, data governance controls, and change-management processes.
Location
111 West Oak Ave., Tampa, FL 33602
#LI-AC1
Benefits/Compensation
This position is eligible for an annual bonus.
Benefits offered for this position include Health, Dental, Vision, Matching 401K, Paid Time Off, 9 Paid Holidays + 3 Floating Holidays, Dependent Care Flexible Spending Accounts, Medical Flexible Spending Accounts, Tuition Reimbursement, Paid Parental Leave, Paid Caregiver Leave, Basic Life Insurance, Supplemental Life Insurance, Employee Stock Purchase Plan, and Disability Insurance, as described in more detail in summary plan descriptions.
Axogen follows healthcare system guidelines with respect to credentialing, vaccinations and other employment/compliance related requirements, as well as CDC guidance. Axogen reserves the right to amend its policies from time to time in its sole discretion.
