Onsite Data Analyst

Posted 11 hours ago

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About the role

  • Data Analyst supporting the Ethics & Business Integrity for R&D and Medical at Sanofi. Analyzing complex data structures and collaborating with cross-functional teams to drive insights.

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 with 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

Requirements

  • Minimum of 5+ years' experience with analytical tools such as (SQL & Snowflake)
  • Strong communication skills, interpersonal skills and experience working in a global context
  • 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
  • Bachelor's or Master's degree in information systems, computer science, communications, web/graphic design or related field
  • Excellent knowledge in English and strong communication skills – written and spoken.

Benefits

  • Health insurance
  • Professional development opportunities

Job title

Data Analyst

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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