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Tier-1 brand, generalist data analytics role with mid-level experience and broad technical requirements.
Role requires US consumer marketing, personalization, and experimental design experience, making background less transferable.
Requires Master's degree, explicit 2+ years, US consumer data experience, experimentation and specific technical skills.
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Drive customer acquisition and business growth by expanding analytics on Customer Personalization Strategy for US Consumer Marketing.
Leverage advanced analytics, experimentation, and AI/GenAI capabilities to enhance arbitration framework for marketing treatments and recommend improvements.
Collaborate cross-functionally with Marketing, Decision Science, Product, Analytics, and Technologies teams to monitor changes and impact on US Consumer Marketing success metrics and business goals.
Minimum 2+ years work experience in analytics and data science driving business results.
Master’s Degree in a quantitative field such as Statistics, Computer Science, Economics, Engineering, Mathematics, or Finance.
Proficient in querying large complex datasets using big data programming languages like Python, Hive, Scala.
Experience with experimental test design and advanced machine learning techniques.
Strategic thinker capable of defining vision and building actionable roadmaps in complex environments.
Experienced in influencing cross-functional teams and gaining stakeholder alignment for enterprise-wide initiatives.
Demonstrated ability to work proactively under ambiguity and tight timelines, making critical decisions and driving execution.