Data Analyst Sr Expert
Philips•10h ago
Chennai (ex Madras)OnsiteFull-timeSenior Level8+ yrs exp
Top focus
Data AnalystVp Data
- Job Title Data Analyst Sr Expert Job Description Job Title : Data Analyst Sr Expert Job Profile Summary The PS&Q Data Analyst develops, validates
- maintains high-quality analytics, reporting solutions
- reusable data assets that support Product Safety & Quality, Regulatory, Clinical
- Operational functions. Working within a regulated medical device environment, the role applies advanced analytical and technical skills to create transparent, traceable
- reproducible data products while ensuring compliance with applicable healthcare regulations and data governance standards. The role combines expertise in data analytics, Azure data technologies
- documentation practices to produce validated tables, figures, listings, dashboards
- analytical outputs that are suitable for regulatory, quality, operational
- 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
- statistical outputs that support quality, regulatory, clinical
- operational decision making. Produces clear technical documentation describing data sources, transformation logic, assumptions, validation activities, calculations
- reporting methodologies to ensure analytical outputs are transparent, reproducible
- audit ready. Designs, develops and works with scalable data transformations, semantic models
- data pipelines using Azure Data Lake, Azure Data Factory, Microsoft Fabric/Synapse, SQL and Python to deliver trusted analytical datasets. Performs data validation, reconciliation
- quality assurance activities to ensure analytical outputs are accurate, complete, reproducible
- suitable for regulatory and business use. Applies data governance principles and complies with applicable regulations and standards including GxP, FDA 21 CFR Part 11, GDPR
- internal quality system requirements when developing analytical solutions. Works collaboratively with Quality, Regulatory, Clinical, IT, Data Engineering
- business stakeholders to translate analytical requirements into well-documented, validated reporting and data solutions. Minimum required Education: Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent. Minimum required Experience: Minimum 8-10 years of experience with Bachelor's in areas such as Data Analytics, Data Modeling or equivalent Preferred Skills: Data Analysis & Interpretation Data Harmonization & Processing Data Modeling Data Quality Assurance Statistical Methods Statistical Programming Software Business Intelligence Tools Data Mining Machine Learning Engineering Fundamentals Research & Analysis Structured Query Language (SQL) Regulatory Compliance How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. Indicate if this role is an office/field/onsite role. About Philips We are a health technology company. We built our entire company around the belief that every human matters
- we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
- Learn more about our business .
- Discover our rich and exciting history .
- Learn more about our purpose . If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .
Required skills
Data AnalysisData ModelingData Quality AssuranceStatistical MethodsStatistical ProgrammingBusiness IntelligenceData MiningMachine LearningSQL