Reference Data Management - Data Analyst

Posted 4 Days Ago
Be an Early Applicant
Budapest, HUN
Hybrid
13M-20M Annually
Entry level
Healthtech
The Role
Maintain and govern Sanofi’s commercial reference data and codelists in Informatica MDM. Query and profile data using SQL, perform quality checks, analyze Snowflake data flows, assess downstream impacts, coordinate testing and deployments, document approvals, support Power BI reporting, manage access requests, and track work in Jira. Collaborate with global data owners, stewards, and technical stakeholders while ensuring compliance with privacy, GxP, SOX, and cybersecurity standards.
Summary Generated by Built In

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 extraordinary

Better 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 680 000,00

Final 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.

Skills Required

  • Hands-on experience as a Data Analyst, ideally in reference data, master data, or data governance
  • Strong SQL and data profiling skills
  • Understanding of data flows, data quality concepts, integration, ETL, and MDM concepts
  • Familiarity with Snowflake and basic Power BI
  • Experience with RDM/MDM platforms and Informatica MDM
  • Healthcare or pharmaceutical experience
  • Bachelor’s or Master’s degree in Computer Science, Information Management, Data Science, Mathematics, or a related field, or equivalent experience
  • Fluent English
  • Strong analytical, communication, collaboration, ownership, and root-cause analysis skills

Sanofi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.

  • Retirement Support — Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
  • Parental & Family Support — Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
  • Equity Value & Accessibility — Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.

Sanofi Insights

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The Company
HQ: Paris
85,000 Employees
Year Founded: 1973

What We Do

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

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