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Specialized MMM requirements but metro locations and known analytics brand create moderate competition.
Role requires domain-specific marketing analytics and econometrics expertise, limiting easy cross-industry transfer.
Explicit 5–8 years plus mandatory MMM/econometrics skills and specific tooling raises screening strictness.
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Build, calibrate, and validate Market Mix Models (MMM) using historical media and business data to quantify channel impact and optimize spend.
Design and automate end-to-end MMM data pipelines, manage multi-source datasets, and ensure reproducibility of analytics workflows.
Translate model outputs into actionable insights and present budget allocation scenarios to senior marketing and finance stakeholders.
5 to 8 years of experience in marketing analytics, MMM, media effectiveness, or econometrics.
Bachelor’s degree in Statistics, Economics, Applied Math, Data Science, or related field; Master’s preferred.
Proficiency in Python or R for econometric modeling and experience with cloud data environments (AWS/GCP/Azure).
Experience working with media/channels data like Nielsen, Kantar, geo experiments; knowledge of optimization techniques and econometric modeling.
Experienced in advanced MMM techniques including Bayesian and machine learning-driven frameworks with strong econometric and causal inference skills.
Comfortable operating in fast-paced, cross-functional environments, engaging with senior stakeholders to influence marketing and budget decisions.
Strong at building end-to-end data pipelines and automation for robust, reproducible MMM workflows in cloud environments.