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Tier-1 brand, metro location, mid-level generalist role increases applicant competition.
Role requires commerce media and ad-tech expertise limiting cross-industry transferability.
Explicit years, required domain expertise, and mandatory technical skills increase screening rigidity.
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Analyze 1st, 2nd, and 3rd party data to understand customer behaviors and advertiser preferences to develop audience segments.
Evaluate campaign performance for commerce media ads and offers, developing attribution models and delivering detailed insights to advertisers.
Leverage data-driven insights to optimize targeting, personalization, enhance customer engagement, and identify growth opportunities in commerce media business.
4 to 7 years of relevant experience, preferably 5+ years; 3+ years experience in audience-related analytics.
Deep expertise in Commerce Media domain and digital media/marketing ecosystems, including knowledge of key digital marketing KPIs.
Proficiency in advanced analytics skills such as statistical analysis, predictive modeling, machine learning, experimental design, and attribution models (MMM, MTA).
Technical skills including SQL, Python or R, experience with large-scale data platforms (e.g., Snowflake), BI tools (Tableau, Power BI), and hands-on AI/ML application in attribution models and Gen AI solutions.
Experienced in commerce or retail media analytics with strong understanding of measurement, revenue, and data commercialization strategies.
Operates with strong analytical rigor, capable of independently solving complex problems and integrating multiple data sources to influence business decisions.
Comfortable working hands-on with data platforms, advanced analytics, and cross-functional teams focused on digital advertising and customer engagement metrics.