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Tier-1 brand, popular data title, and broad Azure/analytics requirements increase candidate density.
Requires regulated healthcare (GxP/FDA) and validated analytics experience, limiting cross-industry transferability.
Explicit 8-10 years, Azure/regulatory compliance, and validated data product requirements enforce strict filters.
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Develop, validate, and maintain high-quality analytics products including datasets, tables, figures, listings, dashboards, and reports supporting Product Safety & Quality, Regulatory, Clinical, and Operational functions.
Design and implement scalable data transformations, semantic models, and data pipelines using Azure Data Lake, Azure Data Factory, Microsoft Fabric/Synapse, SQL, and Python.
Ensure analytical outputs comply with GxP, FDA 21 CFR Part 11, GDPR, and internal quality standards, producing transparent, traceable, reproducible documentation suitable for audits and regulatory use.
Bachelor's or Master's degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
8-10 years of experience in Data Analytics, Data Modeling, or equivalent with a Bachelor's degree.
Proficiency with Azure data technologies, SQL, Python, and advanced statistical/machine learning methods is explicitly required.
Office-based role requires at least 3 days per week onsite presence at company facilities.
Experienced in regulated medical device or healthcare environments with strong understanding of compliance regulations such as FDA 21 CFR Part 11, GxP, and GDPR.
Skilled in developing validated and audit-ready analytical products with documented data provenance and quality assurance processes.
Capable of collaborating cross-functionally with Quality, Regulatory, Clinical, IT, Data Engineering, and business stakeholders to translate requirements into compliant data solutions.