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Tier-1 employer and metro location increase competition, but senior regulated specialization reduces applicant density.
Regulatory GxP/FDA and validated reporting requirements make skills less transferable across industries.
Explicit 8–10 years, regulated GxP/FDA compliance, and Azure data tooling make filters highly strict.
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Develop and maintain validated analytics products (datasets, tables, figures, dashboards) to support Product Safety & Quality, Regulatory, Clinical, and Operational decision-making.
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 compliance with healthcare regulations (GxP, FDA 21 CFR Part 11, GDPR) and internal quality systems by producing transparent, traceable, and reproducible analytical outputs and documentation.
Bachelor's or Master's degree in Information Management, Information Systems, Computer Science, Data Analytics, or equivalent.
8-10 years of professional experience in data analytics or related fields.
Strong proficiency in Azure data technologies (Azure Data Lake, Azure Data Factory, Microsoft Fabric/Synapse), SQL, and Python.
Experience working within regulated medical device or healthcare environments with knowledge of regulations such as GxP, FDA 21 CFR Part 11, and GDPR.
Experienced in handling complex datasets using advanced statistical methods and machine learning techniques to derive strategic insights.
Proficient in building validated analytics solutions that are audit-ready and compliant with regulatory standards in healthcare.
Skilled in collaborating with cross-functional stakeholders including Quality, Regulatory, Clinical, IT, and Data Engineering teams to deliver comprehensive data-driven solutions.