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Market Mix Modeling and Analytics Lead

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Job Title: Market Mix Modeling and Analytics Lead

  • Job Description:

    This is a challenging role that requires a unique blend of analytical, technical, and communication skills. As a Market Mix Modeling and Analytics Lead, you will be responsible for designing, executing, and interpreting marketing mix modeling projects using advanced statistical methods.

  • Required Skills and Qualifications:

    • Marketing Mix Modeling and Analysis: You should have a strong background in marketing mix modeling and analysis, with experience in designing and executing MMM projects using advanced statistical methods.

    • Client Engagement and Strategy Consulting: You should be able to act as a trusted advisor delivering actionable insights from analytics, translating complex model outputs into clear, business-ready narratives, and leading client discussions, managing expectations, and building strong partnerships.

    • Project and Stakeholder Management: You should have excellent project management skills, with the ability to manage end-to-end project delivery including scoping, timelines, and coordination, collaborating with analytics teams, data engineers, and client stakeholders, and ensuring timely, high-quality delivery of insights.

    • Data Management and Quality Assurance: You should be able to validate and clean input datasets (media, sales, promotions), conduct quality checks on modeling outputs to ensure accuracy, resolve data issues and escalate where necessary.

    • Insights and Reporting: You should have experience in developing dashboards, reports, and presentations using Power BI, Tableau, or Excel, providing scenario planning, simulations, and media optimization tools.

    • Innovation and Methodological Development: You should be able to enhance MMM methodologies and integrate new data sources (digital, CRM, retail), support automation and efficiency improvements using Python, R, SQL.

  • Benefits:

    • Opportunity to work with cutting-edge technologies and methodologies;

    • Collaborative and dynamic work environment;

    • Opportunities for career growth and professional development;

  • Others:

    The ideal candidate will have a strong passion for analytics and a desire to make a meaningful impact on business outcomes.