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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CDI - Directeur Data Analytics (F/H/X) - **Company:** Sephora SAS - **Location:** Inconnu, France - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Data Governance, Data Transformation, Data Visualization, Power BI, Data Strategy, Data Analytics - **Published:** September 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0212a965ac1210ba ## About the Role Extensive experience in analytics and business intelligence * Demonstrated ability to translate business needs into scalable analytics products and data visualization solutions * Experience leading multidisciplinary teams and coordinating delivery across multiple stakeholders * Previous management experience * Strong understanding of data governance * Excellent communication and stakeholder management skills * Experience in retail, consumer, digital, or omnichannel environments is a plus * Strong leadership and team development capabilities * Ability to combine operational delivery with forward-looking vision on analytics evolution * Commitment to clarity, consistency, and quality in analytics products and user experience * Collaborative mindset and ability to influence across functions, markets, and levels of seniority * Fluent in English ## Description Strategy: define the Analytics strategy for the EME region in alignment with business priorities and Sephora's broader data transformation agenda. Select the most relevant partners to accompany Sephora to support the Analytics team * Delivery: oversee the design, development, and deployment of Analytics Products - mostly Power BI dashboards - for business teams across functions and markets. Anticipate and manage the impact of big Sephora projects on reports by integrating the relevant process * Reliability: set and maintain high standards for analytics governance, data quality, consistency of KPIs, and reporting practices across the region * Engage: drive the democratization of data by promoting broad access to Analytics and increasing the autonomy of business users while guaranteeing collective efficiency by embodying Analytics authority * Data Product: switch from a deliverable approach to a product approach, making every analytics asset addressed as a product, with a clear owner, a value-based prioritization of new features, a management of usability * Operational excellence: ensure that all analytics developments comply with legal and technical standards, especially FinOps best practices * Transversality: contribute actively to the development of cross-practice Data, AI & Insights offers * Innovation: anticipate future analytics needs and define the next generation of analytics capabilities, including self-service BI and scalable innovating analytics products * Lead: provide strong leadership to analytics teams, building capabilities, developing talents, and fostering a culture of impact, service, and continuous improvement ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Big Business, Big Barriers? 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