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Strong employer brand and metro location balanced by niche MMM specialization.
Highly domain-specific marketing analytics and econometrics expertise limits cross-industry transferability.
Explicit 5–8 years and mandatory MMM, econometrics, cloud, and SQL skills create strict filters.
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Own end-to-end development, calibration, and validation of Market Mix Models (MMM) using historical media and business data to quantify channel impact and optimize marketing spend.
Design and maintain data pipelines and automate recurring MMM workflows ensuring data quality, governance, and model reproducibility.
Translate model outcomes into actionable business insights, engage with senior stakeholders including CMOs, and drive budget allocation decisions through optimization and scenario simulations.
5 to 8 years of relevant experience in marketing analytics, MMM, media effectiveness, or econometrics.
Proficiency in econometric modeling (Bayesian, frequentist, machine-learning approaches) using Python or R.
Experience with cloud platforms such as AWS, GCP, or Azure and managing large multi-source media/marketing datasets.
Bachelor’s degree in Statistics, Economics, Applied Math, Data Science, or related field; Master’s preferred.
Experienced in media agencies, consulting firms, or digital marketing analytics with strong domain expertise in digital marketing KPIs and attribution methodologies (MMM, MTA, experimentation).
Technically proficient with advanced modeling, causal inference techniques, and building automated, scalable data science pipelines in cloud environments.
Strategic thinker capable of converting complex model insights into clear recommendations and collaborating across marketing, finance, and media teams to influence decision-making.