
Commercial Data Analyst
- Paris
- CDI
- Temps-plein
- Assist in creating and managing dashboards for home page analytics, browsing behavior, campaign performance, and other key metrics to provide insights into customer behavior and drive business decisions.
- Assist in understanding the reasons behind changes in key performance indicators (KPIs) and coordinating with regional teams to communicate these KPIs, understand reasons, and prepare actions.
- Help develop a comprehensive understanding of our commercial, pricing, and CRM campaigns to optimize merchandising decisions.
- Analyze the customer journey onsite to understand the effectiveness of different mechanisms in boosting traffic and campaigns, such as push notifications and in-app messaging.
- Assist in assessing demand based in other regions and analyzing the top-performing supply.
- Support in providing insights to regions on highlighting the top-performing supply in their campaigns and curation and collaborating with cross-functional teams to ensure that supply is accurately represented on the website.
- Work with regional teams to optimize supply and demand based on customer preferences and trends. Assist in identifying different user groups and designing campaigns that address their needs.
- Utilize customer insights to inform and improve commercial campaigns and promotions.
- Fluent in English - French is a plus
- Experience: 5+ years in data analytics or a similar role, ideally in tech, e-commerce, or marketplace environments.
- Technical fluency: Advanced SQL (Snowflake a plus), data modeling, and hands-on experience with Tableau or similar tools.
- Analytical sharpness: Strong grasp of experimentation, statistical methods, root cause analysis, and user behavior tracking.
- Be structured, detail-oriented, a fast learner, and motivated by E-commerce and Sustainability topics.
- Excellent organizational and time management skills Enjoy working as a team player and learning from others.
- An interest and knowledge in Fashion / Luxury industry
- Data Warehousing: Snowflake and DBT for data pipelines
- Data Visualization & Reporting: Tableau.
- A/B Testing & Experimentation: Growthbook, leveraging Launchdarkly for feature flagging.
- Git
- CRM : Braze