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Tier-1 brand, mid-level analytics role, metro location, and broad skillset requirements drive high competition.
Requires commerce media and ad-tech domain expertise, limiting cross-industry transferability.
Explicit 4–7 years plus domain expertise and technical stack makes shortlisting highly selective.
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Analyze and interpret 1st, 2nd, and 3rd party commerce and media data to develop audience segments and optimize campaign performance.
Develop attribution models and frameworks (e.g., MMM, MTA, incrementality testing) to deliver insights on advertising effectiveness and customer behaviors.
Leverage advanced analytics and digital media expertise to enhance targeted personalization and identify new growth opportunities in commerce media.
4 to 7 years of relevant experience, with at least 3 years in audience-related analytics.
Deep domain expertise in commerce media or retail media landscape, including measurement, data strategy, and revenue models.
Strong proficiency in statistical analysis, predictive modeling, machine learning, and experimental design (A/B testing).
Technical skills including SQL, Python or R; familiarity with large-scale data platforms (e.g., Snowflake), BI tools (e.g., Tableau), and privacy-safe data environments (clean rooms).
Experienced practitioner with hands-on skills in commerce media analytics, attribution modeling, and digital marketing KPIs (ROAS, CTR, CPA).
Operates independently solving complex problems using deep analytical tools and technical expertise within a data-driven marketing environment.
Comfortable working with cross-functional teams and translating complex data insights into actionable business strategies for advertisers.