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Data Analyst Sr Expert (Chennai)
PhilipsChennai, Tamil Nadu, IndiaAdded 15h ago
Data Analyst roles with Python & SQL
Full-time
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Job description
Job Title
Data Analyst Sr Expert
Job Description
Job Title : Data Analyst Sr Expert
Job Profile Summary
The PS&Q; Data Analyst develops, validates, and maintains high-quality analytics, reporting solutions, and reusable data assets that support Product Safety & Quality, Regulatory, Clinical, and Operational functions. Working within a regulated medical device environment, the role applies advanced analytical and technical skills to create transparent, traceable, and reproducible data products while ensuring compliance with applicable healthcare regulations and data governance standards.
The role combines expertise in data analytics, Azure data technologies, and documentation practices to produce validated tables, figures, listings, dashboards, and analytical outputs that are suitable for regulatory, quality, operational, and audit purposes.
Job Responsibilities
- Handles analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.
- Develops and maintains high-quality analytics products including validated datasets, tables, figures, listings, dashboards, reports, and statistical outputs that support quality, regulatory, clinical, and operational decision making.
- Produces explicit technical documentation describing data sources, transformation logic, assumptions, validation activities, calculations, and reporting methodologies to ensure analytical outputs are transparent, reproducible, and audit ready.
- Designs, develops and works with scalable data transformations, semantic models, and data pipelines using Azure Data Lake, Azure Data Factory, Microsoft Fabric/Synapse, SQL and Python to deliver trusted analytical datasets.
- Performs data validation, reconciliation, and quality assurance activities to ensure analytical outputs are accurate, complete, reproducible, and suitable for regulatory and business use.
- Applies data governance pr .