Reference Data Management - Data Analyst
Sanofi is hiring a Reference Data Management - Data Analyst in Budapest, Hungary. Level rates it ; you can apply on Sanofi.
Level's read on this job
- Uses AI ●●○○ is how Level rates this data analyst role: an ordinary role that requires AI tools.
- The posting allows some remote work.
- Tools and skills the posting cites include Informatica Mdm, SQL and Snowflake.
- Level lists 1,000+ other open roles at Sanofi.
- The role was posted in the last few days.
AI in this role
Manages commercial reference data pipelines and codelists that feed downstream systems and AI applications.
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 outcomes.
- Stay at the forefront of tech, with access to training programs and industry certifications, as well as excellent opportunities for progression.
- Enjoy daily opportunities to collaborate and share knowledge in an environment based on open dialogue and mutual respect.
Office of the Year 2025 – Evolution Award
Our most recent award – Sanofi is recognized for creating an innovative workspace that supports collaboration and adaptability.
Marketing Diamond Award 2026 – Employer Branding
One of the highest honours at Hungary's prestigious Marketing Diamond Awards, recognizing excellence in employer branding.
BSC Investor of the Year 2025
Awarded by HIPA, ABSL Hungary, and AmCham Hungary for our contribution to Hungary's business services sector.
PwC Workforce Preference Survey 2025 – Top 3 Most Attractive Employers
Ranked 3rd among the most attractive employers in Hungary.
Hungarian Employer Branding Awards 2025 – Gold & Silver
Best Strategic Employer Branding Campaign (Gold) and Best Employer Branding Campaign in the Pharma Sector (Silver).
#Sanofi #WeNeverSettle #PursueProgress #DiscoverExtraordinary #SanofiCareers #joinSanofi #jobopportunities #careeropportunities #sscjob #Sanofi_Budapest_Hub #Budapest #LI-Hybrid #LI-EUR
Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
The salary range for this position is :Ft13 120 000,00 - Ft19 680 000,00Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.
How we rate this
Reference Data Management - Data Analyst at Sanofi rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $112k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where reference data management was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
- Walk me through how you've used Informatica Mdm in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Reference Data Management, Data Governance, Data Analysis, Data Quality, and Informatica Mdm. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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