Sr. IT Business Analyst (Data Analytics)

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. IT Business Analyst (Data Analytics)

The Sr. IT Business Analyst will demonstrate deep knowledge of CFR Part 11 compliance and GxP (Good Practices: Manufacturing, Clinical, and Laboratory) regulations within the life sciences industry. This role requires expertise in the Software Development Life Cycle (SDLC), project management, and requirements gathering for GxP-validated and Non-GxP software initiatives. The successful candidate will manage the end-to-end lifecycle of systems, from enhancements and validations to new system implementations, ensuring compliance with regulatory standards. This role acts as the bridge between business, technical, and compliance teams to ensure every project delivers on time, within scope, and meets CFR Part 11, GxP, and SOX quality and regulatory standards.

Requirements of the Sr. IT Business Analyst (Data Analytics)

• Bachelor's Degree in Information Technology, Computer Science, Life Sciences, or related field, plus 5 years of experience in the Software Industry, specializing in GxP and validated systems or 10 years of professional experience in an IT Business Analyst role, specializing in GxP and validated systems, without a formal degree.
• Hands-on experience with Power BI, SQL, and data-visualization best practices.
• Familiarity with basic machine-learning concepts and generative AI tools (e.g., OpenAI, Azure AI Studio).
• Preferred Microsoft Certified: Data Analyst Associate (Power BI) or CBIP.
• GxP/CSV/GAMP certification is a plus.
• Proven track record in life sciences, pharmaceutical, or healthcare IT projects in regulated environments.
• Solid experience with the full project lifecycle, including requirements gathering, testing, and implementation for validated software.
• Ability to write clear and concise test cases and validation documentation.
• Excellent communication, stakeholder-management, and training skills.
• Strong project management skills, including planning, tracking, and risk management.
• Familiarity with testing methodologies (e.g., Functional Testing, Regression Testing, UAT).
• Project Management Professional (PMP) or equivalent preferred
• Certification in GxP, CFR Part 11 Compliance, or similar regulatory frameworks preferred.

Responsibilities of the Sr. IT Business Analyst (Data Analytics)

The specific duties of the Sr. IT Business Analyst (Data Analytics) include but are not limited to:

• Gather and document business and data requirements for the enterprise data warehouse.
• Partner with data engineers to translate requirements into scalable ETL and data-pipeline designs; validate outputs for accuracy.
• Design, build and iterate interactive dashboards and reports in Power BI to deliver actionable insights to stakeholders.
• Assist in scoping and delivering machine learning and generative AI pilots: gather and prepare data, define success criteria, coordinate model testing, and produce proof-of-concepts.
• Collaborate with business stakeholders to define and document business requirements for GxP-compliant