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Tier-1 brand, mid-level analytics role with SQL/Python/ML and GenAI skills attracts many qualified candidates.
Combines general data skills with digital marketing domain knowledge, making it moderately industry-specific.
Requires SQL/Python and ML experience but no explicit years, so moderate filter on technical skills.
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Lead analytics for Affiliates, Paid Media & Cobrand channels supporting commercial audience strategy, targeting, and prospect conversion.
Design and implement scalable data-driven and AI/GenAI-enhanced marketing strategies and solutions.
Collaborate cross-functionally with business, digital, and technology teams to optimize media performance and personalization.
Master's or Bachelor's degree in quantitative fields such as Engineering, Mathematics, Finance, Computer Science, Statistics, or Economics.
Proficiency in SQL and Python with experience building ML models like XGBoost and K-Means.
Strong analytical and problem-solving skills to address complex business questions.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in digital marketing analytics, audience strategy, and personalization with an understanding of digital ecosystem tools (e.g., clickstream analytics, identity frameworks).
Comfortable applying emerging AI/GenAI techniques to improve digital targeting and marketing outcomes.
Capable of managing multiple priorities in a fast-paced, cross-functional environment with a focus on data-driven insights and optimization.