# Reference Data Management - Data Analyst at Sanofi

Sanofi is hiring a Reference Data Management - Data Analyst in Budapest, Hungary. Level rates it Uses AI ●●○○; you can [apply on Sanofi](https://jobsbylevel.com/go/f1387c1b-918b-40b0-9c25-b9b00e8c79e1?utm_medium=ai-agent).

AI Level 2, AI centrality 45 out of 100. Remote (Budapest).

## Details

- Company: [Sanofi](https://jobsbylevel.com/companies/sanofi)
- AI level: AI Level 2 (score 45 out of 100)
- Location: Remote (Budapest)
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/f1387c1b-918b-40b0-9c25-b9b00e8c79e1?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=reference-data-management-data-analyst-at-sanofi-047943

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## Description

Location: Budapest Hybrid working About the job As Reference Data Analyst within our Reference Data Management (RDM) team, you'll keep Sanofi's commercial reference data clean, governed and AI-ready, so teams around the world can trust the data behind their decisions. Ready to get started? Join the digital engine driving Sanofi's transformation, where AI, automation and bold experimentation power faster science and smarter decisions. Our RDM team manages 200+ commercial codelists across 50 countries. They cover markets, products, customers and organizational hierarchies, and feed 50+ downstream systems and AI applications on our Snowflake platform. Here, you'll help build the first biopharma company powered by AI at scale. About Sanofi We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives. Join an Award-Winning Team at Sanofi Budapest Hub! Be part of something exceptional. Our Budapest Hub has been recognized for workplace excellence, innovation, and our commitment to putting people first. Main responsibilities Build strong knowledge of commercial reference data domains, codelists, definitions, structures, relationships and related data flows and processes. Maintain commercial codelists in Informatica MDM, including values, definitions, mappings and hierarchies. Query and profile reference data with SQL to answer business questions, run quality checks and flag duplicates or inconsistencies early. Turn business needs from Data Owners, Data Stewards and stakeholders into clear data and codelist requirements, and assess how changes affect downstream systems and Snowflake data shares. Analyse RDM-to-Snowflake data flows (views, data shares, synchronization/refresh processes) and proactively flag potential impacts to the relevant technical teams Coordinate changes from first request to go-live: plan testing (UAT), validate results and confirm outcomes after deployment. Make sure approvals are obtained and documented, and keep codelist documentation (ownership, mappings, change history) audit-ready and compliant with data privacy, GxP, SOX and cybersecurity standards. Support Power BI reports (refresh, synchronization) perform first-line troubleshooting of reporting and access issues and manage access requests for codelists and reports. Track your work in Jira, raise risks and blockers early, and help improve how the team works. About you Experience : Hands-on experience as a Data Analyst, ideally in reference data, master data or data governance. Healthcare or pharma experience is a plus. Technical skills : Strong SQL and data profiling skills, a good understanding of data flows , data quality concepts, integration, ETL and MDM concept , and familiarity with Snowflake and basic Power BI. Knowledge of Experience with RDM/MDM platforms and Informatica MDM is a strong plus. Soft skills : Curious and detail-oriented, with a talent for finding root causes. You communicate clearly, take ownership from request to delivery, and work well with global stakeholders in an Agile setup. Analytical skills : Curious and detail-oriented, with a talent for finding root causes. Able to assess impact, dependencies and risks of data changes, work independently and provide clear recommendations. Education : Bachelor's or Master's degree in Computer Science, Information Management, Data Science, Mathematics or a related field (or equivalent experience). Languages : Fluent English. Why choose us? Join the digital force behind Sanofi's AI-powered pipeline, where trusted data helps accelerate the discovery, development and delivery of treatments to patients. See your technical expertise directly translate into better decisions and better patient

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