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.
Business Data Analyst driving data analysis and mapping in large - scale applications for the insurance domain. Collaborating with technical and business teams while ensuring data quality and standardization.
Data Analyst developing and maintaining functionalities in big data projects with agile methodologies. Collaborating with teams on implementation and user requirements in a hybrid work setting.
Supply Chain Data Analytics Co - Op supporting supply chain professionals at Crown Equipment Corporation. Involves data analysis, reporting, and collaborative problem - solving with different teams.
Supervising Associate providing high - quality financial reporting analysis and insights at EY Global Delivery Services. Leveraging advanced analytics to support decision - making for business and finance leaders.
Data Analyst Intern supporting Power Generation initiatives at WEC Energy Group. Collaborating on data - driven improvements and efficiencies in operations.
Data Analytics Capability Lead at Deutsche Börse leading the data analytics transformation. Orchestrating a data mesh and cloud - based architecture for enhanced analytics use cases.
Data Analyst responsible for providing insights by analyzing data for decision - making in the financial sector. Collaborating with various departments to enhance analytical maturity and identify opportunities.
Financial Data Analyst working with Finance and BI teams at Everfield to improve financial reporting and analytics. Collaborating with data engineers to create sustainable data pipelines and insights.
Werkstudent im Bereich Controlling und Datenanalyse mit Schwerpunkten auf OLAP - Berichten und Datenbankadministration. Unterstützung bei automatisierten Tests und JIRA - Ticketing.
Data Analyst at GDV Dienstleistungs - GmbH in Hamburg developing dashboards for cross - departmental decision making. Responsibilities include SAP Analytics Cloud integration and process optimization.