The role :
Fixed-term contract
Position available as soon as possible
Based in Paris 17
At the heart of the Clarins Brand Division, data plays a key role in understanding our customers and strengthening our Direct-to-Consumer strategy.
Reporting to the CRM Data Manager, you will turn large-scale data into clear, actionable insights to support customer understanding, CRM initiatives and product performance.
What you’ll do :
Mission 1: Data Analysis & Methodology
- Conduct data analysis leveraging SQL, statistical modeling and AI to answer business questions on customer behavior, CRM and product topics, in line with the Global Data Team's priorities
- Apply the appropriate analytical approach and methodology to frame and structure each study
- Extract, clean and process data to ensure the reliability and relevance of the analysis
- Build clear data visualizations that make analytical findings easy to understand
- Present analysis results to business stakeholders, ensuring findings are clearly understood and usable
Mission 2: Dashboard Design & Development
- Build dashboards in Power BI, translating requirements defined with the Global Data Team into clear, reliable visualizations
- Structure data models and queries to ensure dashboards are accurate, scalable and easy to maintain
- Select the right KPIs and data visualizations to make insights easy to understand and act upon
- Collaborate with business stakeholders to gather needs, iterate on drafts and validate the final output
- Document dashboards and present them to business and technical stakeholders
- Maintain the backlog of requested evolutions and ensure the ongoing follow-up and maintenance of existing dashboards
Mission 3: Testing & Data Quality Assurance
- Conduct User Acceptance Testing (UAT) on Qlik and Power BI Dashboards, ensuring data reliability and functional compliance before release
- Support the Data Project Manager in checking and validating data across dashboards and analysis
- Identify, document and follow up on anomalies with technical teams
- Coordinate testing phases and timelines with technical teams to ensure on-time, high-quality releases
Mission 4: AI-Powered Efficiency
- Use AI to deepen and accelerate studies and analyses
- Test AI-powered tools in day-to-day work and share feedback with the Global Data Team to support the team's adoption roadmap