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 clear 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 principles and complies with applicable regulations and standards including GxP, FDA 21 CFR Part 11, GDPR, and internal quality system requirements when developing analytical solutions.

• Works collaboratively with Quality, Regulatory, Clinical, IT, Data Engineering, and 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 companyu2019s facilities.
Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 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, and 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.
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If youu2019re 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 .