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Tier-1 brand, metro location, and moderately generalist mid-senior analytics role increase applicant competition.
Skills are transferable across industries, but payments/financial services preference raises domain specificity to medium.
Explicit 8–10 years requirement, mandated analytics tooling and domain experience make screening highly selective.
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Lead design and execution of A/B tests, campaign analytics, and test-control methodologies to optimize marketing performance.
Perform deep-dive analyses on customer journeys, marketing funnels, and portfolio performance to inform segmentation and targeting strategies.
Mentor junior analysts and engage senior stakeholders by translating complex data insights into clear business impact and recommendations.
8-10 years of analytical experience in consulting, analytics, or data science focusing on marketing analytics.
Undergraduate degree required; Master’s degree preferred but not mandatory.
Proficiency in SQL, Python, R, or SAS, and experience with A/B testing, test-control analysis, and statistical modeling.
Experience in financial services, banking, or payments strongly preferred; exposure to GenAI in marketing analytics is a plus.
Experienced in managing complex marketing analytics projects with cross-functional teams including marketing, finance, and data engineering.
Skilled at converting large and complex data sets into strategic insights with executive-level communication and storytelling.
Comfortable working in fast-paced environments managing multiple priorities and stakeholders with a focus on driving client value through data-driven solutions.