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About The Role
We are seeking a skilled Data Analyst to join our team and drive data-driven decision-making. This role involves transforming raw data into actionable insights, building interactive dashboards, and KPIs that measure client engagement and business performance based on business requirements. The ideal candidate is detail-oriented, analytical, passionate about leveraging data to optimize strategies, and comfortable working with data tools and coding languages.
Impact You Can Create in the Role
1. Programming & Data Manipulation
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 per business need.
Ensure data integrity and accuracy across systems (Salesforce and others).
2. Data Visualization & Dashboard Development
Develop and maintain dashboards (Power BI, excel)
Build interactive dashboards with filters, drilldowns, and client segmentation views.
Provide actionable insights and recommendations to improve customer experience and business performance.
3. Collaboration
Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
What You Will Bring
3+ years of experience in data analytics or business intelligence.
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).
Experience in retail, luxury, or customer-centric industries is an advantage.
Willingness to start on a 1-year contract, with the possibility of renewal.
What Chanel Can Offer You
The chance to work with a world-renowned luxury brand known for heritage and innovation.
Supportive, team-oriented culture that values your contributions.
Chanel is a French luxury fashion house that was founded by couturière Coco Chanel in 1910. It focuses on women's ready-to-wear clothes, luxury goods and accessories.
Job ID: 135300609