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Tier-1 brand, remote role, mid-level experience, and metro markets create high applicant competition.
Role mixes general analytics skills with marketing/MMM domain knowledge, making industry transfer moderately sensitive.
Explicit 6+ years, mandatory Python/SQL, MMM literacy and statistical/experiment skills make shortlisting highly strict.
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Lead end-to-end marketing analytics including funnel performance, campaign effectiveness, and marketing ROI.
Act as a key partner to marketing leadership by translating MMM model outputs and business questions into actionable insights and decisions.
Develop and maintain data analysis tools and dashboards using Python and SQL to scale analytics and support global marketing strategies.
6+ years in marketing analytics, business intelligence, or data science with demonstrated impact on marketing strategy.
Proficiency in Python and SQL for handling large marketing datasets.
Hands-on experience with Media Mix Modeling (MMM) concepts and at least one MMM tool (e.g., Robyn, Meridian).
Role based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra or Delhi); occasional travel may be required.
Experienced at bridging data science and business strategy in a global marketing context alongside central data science teams.
Strong statistical knowledge with practical experience in experimental design such as A/B testing and geo-lift tests.
Comfortable communicating complex analytics insights and MMM results to senior, cross-functional marketing, sales, finance, and product leaders.