Perrine Panisset

Data Analysis & Business Insights: - Conduct in-depth analyses of customer, financial, and transactional data to identify trends, risks, and opportunities that support decision-making for various teams (Finance, Revenue, Banking, Fraud, etc…). Data Visualization: - Develop dashboards and visual reports using Looker Studio and Metabase to help teams monitor KPIs or identify key patterns. Data Modeling: - Design, build and maintain data models from various internal and external data sources using DBT, ensuring scalable, efficient and reliable data pipeline for analytics and reporting.

Data Analysis: - Collaborate with cross-functional teams (Growth, Product, Finance) to understand data requirements and develop solutions and analyses that provide insights and drive strategic decision-making (upsell and churn forecasting algorithms). Data Modeling: - Design, build, and maintain data infrastructure thanks to DBT to support business analytics and reporting (Look ML in self-service analytics platform). - Design and optimize ETL processes, build and maintain databases, ensure data quality and integrity.

- Perform qualitative and quantitative data analysis to provide strategic recommendations (Sales, Sell Through, Best sellers - per store, country, nationality, etc.). - Build buying strategies for stores (purchasing plan, assortment and depth by store, sales predictions). - Create data visualizations using Power BI to present strategic reports and insights. - Define relevant KPIs and carry out analyses to identify opportunities for growth. - Develop action plans for declining stores by creating automated and visual reporting tools.

- Perform qualitative and quantitative data analysis on weekly selling performances (Sell In, Sell Out, Best sellers, SKUs efficiency). - Create automated visual reports for ad-hoc analysis. - Conduct collection analysis (delivery priorities, restocking, pricing, competitive intelligence). - Prepare Buying Sessions (pricing strategies development, sales book creation, sales advisors briefing).

- Elaborate weekly qualitative and quantitative reportings of selling performances. - Develop new upcoming collections (collection book). - Organize and present new collections during Showrooms. - Create marketing content for new products (E-commerce and press descriptions, training content for sales advisors). - Watch competition (mystery shopping, Instagram and press reviews, events, website). - Analyze competitors' offer and positioning (mappings, price analysis) in order to understand trends and novelties. - Follow up and updating marketing tools (modelarios, collection plans). - Follow. up production stocks (press and marketing set orders). - Organize shootings (E-commerce, press). - Sales advisor in the Dior boutique of the Galeries Lafayette (2 weeks).

- Seminars with representatives of the different LVMH Houses - Consulting mission for Louis Vuitton : "How to re-enchant the Capucines Bag selling ceremony ?"

- Brief designers for new upcoming collections. - Present new collections during Showrooms (collection book). - Carry out ad hoc studies and watching competition. - Follow up and updating marketing tools (modelarios, collection plans). - Develop selling tools for Louis Vuitton’s distribution network. - Follow up production stocks (press and marketing set orders).

- Follow up and managing production (stocks follow up and raw materials buying). - Follow up and managing e-commerce sales (logistics, website clients questions answering). - Analyze and develop sales (partnerships development, sales analyzing tools designing, CRM database creation). - Develop sales actions and communication for the new boutique CINABRE (private sales evening organisation, personnalized communication on new collections to the best customers). - Community management (Instagram, Facebook, Pinterest account development and WeChat account creation). - Direct selling in the boutique (personnalized advice giving and special orders)

- Carry out studies for the determination of Low Cost offer constituants. - Carry out qualitative and quantitative market studies (customers’ needs determination, competition watching). - Studying and analyzing customers’ and employees' comments (discussions with employees in different agencies and web surveys)