{"schemaVersion":"jobsearcher.job.v1","id":"11d56321d9f381cb31ffeb89","url":"https://jobsearcher.com/jobs/11d56321d9f381cb31ffeb89","canonicalUrl":"https://jobsearcher.com/jobs/11d56321d9f381cb31ffeb89","title":"Analytics Engineer","description":"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!\r\nAxogen 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.\r\nWhy You'll Love Working At Axogen\r\nFriendly, open, and fun team culture that values unique perspectives\r\nCompany-wide dedication to profoundly impacting patients' lives\r\nComprehensive, high-quality benefits package effective on date of hire\r\nEducational assistance available for all employees\r\nMatching 401(k) retirement plan\r\nPaid holidays, including floating holidays, to be used at your discretion\r\nEmployee Stock Purchase Plan\r\nReferral incentive program\r\nAxogen Mission and Business Purpose\r\nOur 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.\r\nJob Summary Of The Sr. Analytics Engineer\r\nThe 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.\r\nThis 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.\r\nRequirements Of The Sr. Analytics Engineer\r\nBachelor's degree in Information Systems, Computer Science, Business Analytics, Finance, Engineering, or a related field.\r\nMinimum 5 years of experience in Business Intelligence, Analytics Engineering, Data Modeling, or a related role.\r\nAdvanced experience developing enterprise PowerBI solutions, including semantic models, reports, dashboards, and governed datasets.\r\nExpert-level DAX development experience and strong understanding of calculation logic, reusable measures, and KPI frameworks.\r\nStrong understanding of dimensional modeling, data warehousing, and semantic layer design.\r\nStrong SQL skills and working knowledge of relational database structures.\r\nExperience working with Finance, Commercial Analytics, Sales Operations, or Business Intelligence functions.\r\nExcellent communication, stakeholder management, documentation, and problem-solving skills.\r\nAbility to manage multiple projects and priorities in a fast-paced environment.\r\nPreferred Qualifications\r\nExperience with Microsoft Fabric, PowerBI Premium, or enterprise PowerBI deployment models.\r\nExperience with Tabular Editor, calculation groups, model scripting, or related tabular model development tools.\r\nExperience with Azure DevOps, Git, PBIP, CI/CD, and deployment pipelines.\r\nExperience designing enterprise semantic models and KPI governance frameworks.\r\nFamiliarity with Databricks, Azure SQL, cloud data platforms, and modern data-warehouse architectures.\r\nExperience supporting executive reporting, FP&A, Commercial Analytics, Sales Operations, or Operations reporting.\r\nRelevant medical device or biopharma experience a plus.\r\nResponsibilities Of The Sr. Analytics Engineer\r\nThe specific duties of the Sr. Analytics Engineer include but are not limited to:\r\nSemantic Model Ownership\r\nOwn and maintain enterprise PowerBI semantic models supporting Commercial, Finance, Operations, and Executive reporting.\r\nDesign and manage model architecture including fact tables, dimensions, hierarchies, relationships, perspectives, metadata, and security.\r\nEstablish semantic model standards, naming conventions, and governance practices.\r\nDefine and document KPI calculations, business rules, and reporting definitions.\r\nDAX Development & KPI Governance\r\nDevelop and maintain advanced DAX measures, calculation groups, and reusable business logic.\r\nPartner with business stakeholders to translate requirements into governed metric definitions.\r\nEnsure KPI consistency across PowerBI reports, dashboards, and self-service analytics.\r\nSupport complex financial, sales, territory, commission, pricing, and operational reporting requirements.\r\nPerformance Optimization\r\nOptimize semantic models for scalability, refresh performance, query speed, and usability.\r\nIdentify opportunities to reduce model complexity, improve maintainability, and eliminate duplicate logic.\r\nTroubleshoot performance bottlenecks and implement best practices in model design.\r\nSupport migration of BI assets to Microsoft Fabric/Databricks and enterprise semantic model architecture.\r\nBI Development & Reporting\r\nBuild and enhance enterprise PowerBI datasets, reports, and dashboards.\r\nSupport thin-report architecture and self-service analytics initiatives.\r\nCollaborate with Business Analysts and Finance Business Partners on reporting solutions.\r\nAssist in development of executive, commercial, operational, and financial reporting.\r\nGovernance & Deployment\r\nSupport BI governance, change management, documentation, and release-management processes.\r\nManage semantic model version control, testing practices, deployment pipelines, and production release standards.\r\nUtilize Git, Azure DevOps, PBIP, Tabular Editor, and Fabric development frameworks, as applicable.\r\nMaintain technical documentation, model inventories, and change logs.\r\nImplement Row-Level Security (RLS), security modeling, data governance controls, and change-management processes.\r\nLocation\r\n111 West Oak Ave., Tampa, FL 33602\r\nBenefits/Compensation\r\nThis position is eligible for an annual bonus.\r\nBenefits 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.\r\nSalary Range\r\n$103,548—$129,435 USD\r\nAxogen 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.\r\nJ-18808-Ljbffr","company":"Axogen","rawCompany":"axogen","city":"Tampa","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:34:26.676Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analytics Engineer","description":"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!\r\nAxogen 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.\r\nWhy You'll Love Working At Axogen\r\nFriendly, open, and fun team culture that values unique perspectives\r\nCompany-wide dedication to profoundly impacting patients' lives\r\nComprehensive, high-quality benefits package effective on date of hire\r\nEducational assistance available for all employees\r\nMatching 401(k) retirement plan\r\nPaid holidays, including floating holidays, to be used at your discretion\r\nEmployee Stock Purchase Plan\r\nReferral incentive program\r\nAxogen Mission and Business Purpose\r\nOur 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.\r\nJob Summary Of The Sr. Analytics Engineer\r\nThe 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.\r\nThis 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.\r\nRequirements Of The Sr. Analytics Engineer\r\nBachelor's degree in Information Systems, Computer Science, Business Analytics, Finance, Engineering, or a related field.\r\nMinimum 5 years of experience in Business Intelligence, Analytics Engineering, Data Modeling, or a related role.\r\nAdvanced experience developing enterprise PowerBI solutions, including semantic models, reports, dashboards, and governed datasets.\r\nExpert-level DAX development experience and strong understanding of calculation logic, reusable measures, and KPI frameworks.\r\nStrong understanding of dimensional modeling, data warehousing, and semantic layer design.\r\nStrong SQL skills and working knowledge of relational database structures.\r\nExperience working with Finance, Commercial Analytics, Sales Operations, or Business Intelligence functions.\r\nExcellent communication, stakeholder management, documentation, and problem-solving skills.\r\nAbility to manage multiple projects and priorities in a fast-paced environment.\r\nPreferred Qualifications\r\nExperience with Microsoft Fabric, PowerBI Premium, or enterprise PowerBI deployment models.\r\nExperience with Tabular Editor, calculation groups, model scripting, or related tabular model development tools.\r\nExperience with Azure DevOps, Git, PBIP, CI/CD, and deployment pipelines.\r\nExperience designing enterprise semantic models and KPI governance frameworks.\r\nFamiliarity with Databricks, Azure SQL, cloud data platforms, and modern data-warehouse architectures.\r\nExperience supporting executive reporting, FP&A, Commercial Analytics, Sales Operations, or Operations reporting.\r\nRelevant medical device or biopharma experience a plus.\r\nResponsibilities Of The Sr. Analytics Engineer\r\nThe specific duties of the Sr. Analytics Engineer include but are not limited to:\r\nSemantic Model Ownership\r\nOwn and maintain enterprise PowerBI semantic models supporting Commercial, Finance, Operations, and Executive reporting.\r\nDesign and manage model architecture including fact tables, dimensions, hierarchies, relationships, perspectives, metadata, and security.\r\nEstablish semantic model standards, naming conventions, and governance practices.\r\nDefine and document KPI calculations, business rules, and reporting definitions.\r\nDAX Development & KPI Governance\r\nDevelop and maintain advanced DAX measures, calculation groups, and reusable business logic.\r\nPartner with business stakeholders to translate requirements into governed metric definitions.\r\nEnsure KPI consistency across PowerBI reports, dashboards, and self-service analytics.\r\nSupport complex financial, sales, territory, commission, pricing, and operational reporting requirements.\r\nPerformance Optimization\r\nOptimize semantic models for scalability, refresh performance, query speed, and usability.\r\nIdentify opportunities to reduce model complexity, improve maintainability, and eliminate duplicate logic.\r\nTroubleshoot performance bottlenecks and implement best practices in model design.\r\nSupport migration of BI assets to Microsoft Fabric/Databricks and enterprise semantic model architecture.\r\nBI Development & Reporting\r\nBuild and enhance enterprise PowerBI datasets, reports, and dashboards.\r\nSupport thin-report architecture and self-service analytics initiatives.\r\nCollaborate with Business Analysts and Finance Business Partners on reporting solutions.\r\nAssist in development of executive, commercial, operational, and financial reporting.\r\nGovernance & Deployment\r\nSupport BI governance, change management, documentation, and release-management processes.\r\nManage semantic model version control, testing practices, deployment pipelines, and production release standards.\r\nUtilize Git, Azure DevOps, PBIP, Tabular Editor, and Fabric development frameworks, as applicable.\r\nMaintain technical documentation, model inventories, and change logs.\r\nImplement Row-Level Security (RLS), security modeling, data governance controls, and change-management processes.\r\nLocation\r\n111 West Oak Ave., Tampa, FL 33602\r\nBenefits/Compensation\r\nThis position is eligible for an annual bonus.\r\nBenefits 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.\r\nSalary Range\r\n$103,548—$129,435 USD\r\nAxogen 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.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:34:26.676Z","dateModified":"2026-08-08T01:34:26.676Z","hiringOrganization":{"@type":"Organization","name":"Axogen","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tampa","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"11d56321d9f381cb31ffeb89"},"url":"https://jobsearcher.com/jobs/11d56321d9f381cb31ffeb89"}}