Gameloft

Lead Marketing Data Analyst

1 April 2025
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Deadline date:
£64000 / year

Job Description

Company Description

 

    Job Description

    WHAT YOU WILL BE WORKING ON​

    Main challenge​

    Together with a talented team of data analysts and scientists, you will extract actionable insights from our vast marketing and in-game data, helping drive game growth and enhance marketing profitability and efficiency.​

    What it means on a daily basis​

    • Develop an in-depth understanding of our data warehouse, focusing on Marketing and game tracking data.​
    • Become an expert in our marketing data dimensions and measurement definitions.​
    • Conduct comprehensive 360-degree analyses to provide timely, data-driven answers to key stakeholder questions.​
    • Translate analytical findings into strategic recommendations for Marketing and game teams.​
    • Leverage statistical analysis to optimize Marketing testing methodologies and outcomes.​
    • Manage and level up a small team of marketing analysts

    Who you will be working with​

    Joining our Global Data Science and Analytics team, you will collaborate closely with our Marketing vertical teams, including User Acquisition (UA), Influencer Marketing, and Studio Marketing Activation.​

    Qualifications

    WHO YOU ARE​

    • A collaborative team player with a positive attitude and excellent organizational skills. Good verbal, written, and interpersonal skills needed​​
    • You pay strong attention to data quality and you have a passion for deep quantitative analysis​
    • A genuine passion for gaming and the gaming industry​

    WHAT YOU NEED TO SUCCEED​

    • 5+ years of professional experience, 2+ years as a team lead​
    • SQL (Big Query) expertise, crafting complex & efficient queries​
    • Python and R expertise is required​
    • Proven ability in creating clear and impactful data visualizations and dashboards using Data Viz tool(s)​
    • Familiarity with key marketing metrics (CPI, RoAS, creative optimization) and channels​
    • Solid understanding of statistical analysis and its applications in marketing and UA.​
    • Fluent in English, good presenter and communicator.​