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Antoine L.

Business Analyst E-commerce🎯
  • Unverbindlicher Tarif
    600 € /Tag
  • Berufserfahrung8-15 Jahre
  • Antwortrate75 %
  • Antwortzeit4h
Das Projekt startet erst, wenn Sie das Angebot von Antoine annehmen
Standort und Mobilität
Standort
Mannheim, Allemagne
Nur remote
Führt Projekte hauptsächlich remote aus
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Fähigkeiten (29)
Branchenkenntnisse
Antoine in wenigen Worten
With a robust analytical background and extensive experience in business intelligence and data strategy, I am confident in my ability to significantly contribute to your team’s mission.
I have successfully led a range of BI projects, focusing on optimizing data-driven processes and implementing strategic data solutions.
Projekt- und Berufserfahrung
  • Velvet Trading
    Business Analyst E-commerce
    E-COMMERCE
    Januar 2024 - Heute (1 Jahr und 1 Monat)
    Mannheim, Allemagne
    Analysis and Marketing Strategy
    • Utilized RFM (Recency, Frequency, Monetary) analysis and client clustering for effective customer segmentation and matching products / prices / categories to client profiles.
    • Identified products through A/B testing and satisfaction analysis
    Market Implementation
    • Amazon, ADEO, Cdiscount, ManoMano
    • Ensured data quality and managed data for over 60,000 products.
    • Defined pricing strategies based on strategies(Penetration, Cost-based and compset pricing), campaigns, and advertising initiatives for the new market.
    • Created original content and automate image modifications, adding banners and promotional items.
    • Creat API for competitive analysis, monitoring market trends and competitor strategies.
    • Creat NLP template program to extract information from unstructured data, auto generate template file.
    Data Analysis and Visualization
    • Deploy a robust Revenue Management system, providing daily updates on the best eCommerce indicators sorted by month and year, facilitating trend follow-up and strategic adjustments.
    • Deployed machine learning algorithms for pricing strategy, and anticipation of competitor trends to maintain a competitive edge in the market.
  • Archi Hospitality
    Data Sciences Project in Hospitality Industry
    REISEN & TOURISMUS
    September 2022 - Heute (2 Jahre und 5 Monate)
    Lorient, France
    • Identified seasonal trends and booking patterns.
    • Analyzed customer behaviors based on various segments.
    • Developed a demand forecasting model using machine learning algorithms.
    • Utilized variables such as seasonality, local events, and market trends.
    • Implemented a real-time dynamic pricing system.
    • Automatically adjusted prices based on demand forecasts.
    • Website : www.archi-hospitality.com
  • The Originals, Human Hotels & Resorts
    Analyst Revenue Manager
    HOTELGEWERBE
    November 2019 - Dezember 2021 (2 Jahre und 1 Monat)
    Paris, France
    area of 50 hotels
    - Analyze occupancy, average price and revenue per room and all hotel KPIs
    - Segmentation
    - Establish a pricing strategy
    - Statistical analysis and Business Intelligence
    - Create automatic RM support
    - Forecasting
    - Identify risks and opportunities to maximize profit
    - Hotel visit
    - Team training
Externe Empfehlungen
Ausbildung und Abschlüsse
  • Data Analyst
    ENSAE & OpenClassrooms
    2022
    In partnership with ENSAE. Explore, analyze and exploit data to support business decision-making Perform data modeling to segment a marketing audience; Analyze sales to improve corporate strategy; Create dashboards and tracking indicators to monitor and analyze results; Collect, aggregate and clean data to conduct market research
  • Hospitality Manager, hospitality management
    Bachelor degree
    2017
    Hospitality Manager, To train future managers, creators and purchasers of companies in the tourism, hotel and restaurant sector who are capable of managing teams, define the commercial strategy of the establishment and ensure its profitability
  • Machine Learning Engineer
    CentralSupélec & OpenClassrooms
    2023
    Program in partnership with CentraleSupélec Programming Machine Learning algorithms. Train deep neural networks. Model complex data, such as images and text. Conduct a research project and perform a proof of concept (POC).