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Remote nationwide scope and Bengaluru metro location broaden pool, but niche MMM seniority reduces applicant density.
MMM and marketing-analytics skills transfer across industries, so background fit sensitivity is low.
Explicit 8–12 years, mandatory 5+ years MMM, and SQL/Python plus vendor-management create strict filters.
Own the end-to-end Marketing Mix Modeling (MMM) measurement process including model development, validation, refreshes, interpretation, and stakeholder adoption.
Translate MMM outputs into actionable marketing investment insights such as ROI, ROAS, and budget allocation scenarios.
Manage external MMM vendors and cross-functional teams, improving data quality, establishing repeatable processes, and building long-term marketing measurement capabilities.
8–12 years of experience in marketing analytics, marketing science, econometrics, or related fields.
5+ years of hands-on experience specifically with Marketing Mix Modeling (MMM).
Bachelor’s or Master’s degree in Statistics, Data Science, or a related quantitative discipline.
Proficiency in SQL and Python for data analysis and validation tasks.
Experienced in managing complex marketing measurement programs with multiple stakeholders and external vendors without formal people management responsibilities.
Strong expertise in MMM concepts including model diagnostics, calibration, and interpretation for business decision-making.
Prior experience in building MMM capabilities from scratch and integrating complementary marketing measurement methodologies such as experimentation and brand measurement.