Chanel Data Analyst
Chanel, a prestigious name in the luxury fashion industry, is synonymous with elegance, innovation, and timeless style. As part of a global conglomerate, Chanel offers unparalleled opportunities for career growth and development within a supportive and inclusive environment. The brand is committed to fostering a culture that values diversity and encourages personal and professional advancement.
- Collect, clean, and manipulate large datasets using Python, Pandas, SQL, and other analytical tools.
- Create automation pipelines using Databricks.
- Write and maintain scripts using Python according to business needs.
- Ensure data integrity and accuracy across systems such as Salesforce.
- Develop and maintain dashboards using Power BI and Excel.
- Build interactive dashboards with filters, drilldowns, and client segmentation views.
- Provide actionable insights and recommendations to improve customer experience and business performance.
- Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
- 3+ years of experience in data analytics or business intelligence.
- Experience in retail, luxury, or customer-centric industries is an advantage.
- Willingness to start on a 1-year contract, with the possibility of renewal.
- Strong problem-solving skills and ability to communicate insights effectively.
- Solid skills in Python and SQL.
- Good understanding of Databricks Notebook and Pipelines.
- Familiarity with CRM systems and customer data structures (preferred).
3+ years of experience in data analytics or business intelligence, preferably in retail, luxury, or customer-centric industries.
The opportunity to work with a world-renowned luxury brand known for its heritage and innovation, within a supportive, team-oriented culture that values contributions.
Chanel is dedicated to creating an inclusive culture that nurtures personal growth and contributes to collective progress. The brand values the uniqueness of each individual, which enhances the diversity, complementarity, and effectiveness of its teams.

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