Data Analyst

Data Analyst – R&D Accelerator | Paris (Hybrid)

Permanent (CDI only) | 3 days onsite, 2 days remote

Coders Connect is partnering with Sanofi to hire multiple Data Analysts for their growing R&D Accelerator unit in Paris. These are hybrid roles working on impactful, data-driven products that support clinical research and accelerate the delivery of new therapies to patients.

Sanofi’s R&D Accelerator is an innovation-focused team building cutting-edge digital tools to transform clinical research. From dashboards like CleanShow that help physicians interpret patient data in real-time, to new platforms powered by AI and machine learning, you’ll be joining a high-impact environment where your work directly supports scientific and medical progress.

🔧 What You’ll Do

• Analyse clinical and R&D data using SQL and Python, delivering insights that support product and research teams
• Collaborate with Data Scientists, Data Engineers, and fellow Analysts to build and scale data products
• Partner with stakeholders across R&D to translate their needs into actionable data solutions
• Design and develop dashboards and data visualisations to support real-time decision-making in clinical studies
• Ensure data quality, consistency, and structure, working across platforms like Snowflake and Power BI
• Contribute to data modeling, and help shape how data is structured and leveraged across the organisation

✅ Must-Haves

• 2+ years of experience in a data analysis role, with exposure to cross-functional, project-based work
• Strong SQL skills and the ability to work confidently with large, complex datasets
• Proficient in Python for data analysis, transformation, and problem solving
• Experience working with data warehouses – ideally Snowflake, but BigQuery, Redshift, or Databricks also welcome
• Familiarity with data visualization tools – Power BI is a plus, but other tools (e.g. Tableau, Looker) are also valued
• Solid communication skills, with the ability to align technical output with business needs
• Demonstrated ability to work collaboratively in cross-functional teams and contribute to end-to-end data projects
• Understanding of data modeling concepts and how to apply them in real-world scenarios

💡 Nice-to-Haves

• Experience with cloud platforms (e.g. AWS, GCP, or Azure)
• Exposure to healthcare or clinical research data
• Familiarity with data governance and best practices around data quality, privacy, and compliance

🧠 Who You Are

• Curious, collaborative, and proactive — you enjoy digging into complex problems and finding structured solutions
• Comfortable in a fast-moving environment, with a strong sense of ownership and delivery
• Clear communicator who can explain technical findings to non-technical stakeholders