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Antoine L.AL

Antoine L.

Business Analyst E-commerce🎯

600 €/jour
Mannheim, DE
8-15 ans

Délai de réponse moyen : 1h

Ă€ propos de Antoine

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.
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Allemand

    Capacité professionnelle complète

  • Espagnol

    Capacité professionnelle limitée

  • Russe

    Notions

  • Italien

    Notions

En télétravail uniquement
Travaille majoritairement Ă  distance

Expériences

  • Velvet Trading
    Business Analyst E-commerce
    E-COMMERCE
    janvier 2024 - Aujourd'hui (2 ans et 5 mois)
    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
    VOYAGE & TOURISME
    septembre 2022 - Aujourd'hui (3 ans et 9 mois)
    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
    HÔTELLERIE
    novembre 2019 - décembre 2021 (2 ans et 1 mois)
    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

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Formations

  • 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

Compétences (29)

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