General Medicines
Wo Ideen und Wissenschaft die Gesundheit von morgen gestalten.

About Job

Sanofi Business Operations is an internal Sanofi resource organization setup to centralize processes and activities to support Sanofi global functions and business units, and serving as a strategic and functional partner.

The Ethics & Business Integrity (EBI) function at Sanofi is dedicated to ensuring the highest standards of ethical business practices while enabling innovation and operational excellence.

As a data analyst supporting the Ethics & Business Integrity for R&D and Medical, you'll contribute to the development of tailored solutions that enable scientific innovation while maintaining the highest ethical standards.

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.

Main responsibilities:

• Analyze complex and large-scale data structures to identify trends, insights, and opportunities for optimization.

• Able to translate business requirements into data language and work was process owners.

• Work extensively with SAP or CRM (healthcare) data sources, ensuring accurate extraction, transformation, and interpretation of data.

• Can create  SQL queries for data exploration, reporting, and validation.

• Can build prototypes, mockups, or data models to demonstrate analytical approaches and propose solution concepts.

• Translate business needs into clear technical requirements and provide actionable tasks to Data Engineers and Power BI Developers.

• Collaborate closely with cross-functional teams to ensure data accuracy, consistency, and alignment with business goals.

• Prepare and deliver clear, compelling presentations of analytical findings to both technical and non-technical stakeholders.

• Support end-to-end project delivery through strong communication, coordination, and project management skills, ensuring timely and quality output.

• Maintain documentation, best practices, and standards for data processes and analytical methodologies.

People:

• Maintain effective relationship with internal peers and the end stakeholders

• Liaise and coordinate with colleagues in global and local teams to understand their requirements

Performance:

• Provide logical data models to development teams, as per agreed timeline

• Data Quality assessment: Identify abnormalities in the data monitored and ensure reflection in data model

Stakeholder:

• Work closely with global teams to ensure the end-to-end effective project delivery on time.

Process:

• Ensure on time and accurate delivery of all logical data model

• Pro-actively identifying analytical requirements

• Assist in managing analytical projects

About you

• Experience: Minimum of 5+ years' experience with analytical tools such as (SQL & Snowflake) and with analysis of complex data.

• Soft skills: Strong communication skills, interpersonal skills and experience working in a global context

• Technical skills:

  • SQL (advanced): writing complex queries, optimizing performance, building views, stored procedures, and data validation logic.

  • Data Modeling: ability to design logical and conceptual data models; create analytical prototypes for business use cases.

  • SAP / CRM (Healthcare) Data: hands-on experience extracting, transforming, and analyzing data from SAP modules or healthcare-related CRM systems.

  • ETL / Data Pipelines: understanding of data flow design, ability to define requirements for Data Engineers (e.g., mapping, transformations, quality checks).

  • Visualization Tools: practical experience with Power BI, including building dashboards, KPIs, DAX basics, and guiding Power BI developers a big plus.

  • Prototyping Tools: ability to quickly build analytical prototypes using SQL, Excel, Power BI, or Python (optional).

  • Project & Requirement Tools: experience with Jira, Confluence, Azure DevOps or similar tools for defining tasks and documenting requirements.

  • Basic Python for Analytics (if applicable): Pandas, Jupyter, basic statistical analysis (can be added or removed based on your needs).

• Education: Bachelor’s or Master’s degree in information systems, computer science, communications, web/graphic design or related field

• Languages: Excellent knowledge in English and strong communication skills – written and spoken

PursueProgress. DiscoverExtraordinary.

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, disability, or gender identity.

Watch our ALL IN videoand check out our Diversity Equity and Inclusion actions at sanofi.com.

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Pursue Progress. Discovery Extraordinary.

Werde Teil von Sanofi und starte mit uns in eine neue Ära der Wissenschaft – wo dein persönliches Wachstum genauso wegweisend ist wie unsere Arbeit. Wir investieren in dich, damit du weiterkommst, schneller denkst und Dinge möglich machst, die vorher undenkbar waren. Du wirst Grenzen verschieben, Gewohntes hinterfragen und smarte Lösungen entwickeln, die direkt bei den Menschen ankommen, für die wir da sind. Bereit, die Wunder der Wissenschaft zu jagen und Leben zu verbessern? Dann lass uns gemeinsam Großes bewegen – und das Außergewöhnliche entdecken.

Bei Sanofi stehen allen die gleichen Chancen offen – unabhängig von Herkunft, Hautfarbe, Religion, Geschlecht, Nationalität, sexueller Orientierung, Alter, Staatsangehörigkeit, Familienstand, Behinderung, Geschlechtsidentität, Veteranenstatus oder anderen gesetzlich geschützten Merkmalen.