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Tier-1 brand, metro location, and a mid-senior generalist analytics role increase qualified applicant density.
Core analytics skills are transferable, but payments/banking preference raises moderate industry specificity.
Explicit 8–10 years requirement plus mandatory analytics tools, modeling, and domain preference increases shortlisting strictness.
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Lead design and execution of A/B testing, campaign analytics, and test-control methodologies to optimize marketing performance.
Perform deep analysis of customer journeys, marketing funnels, and portfolio performance to inform business decisions.
Develop predictive models for segmentation, personalization, and targeting, while mentoring junior analysts and collaborating with marketing, finance, and data engineering teams.
8-10 years of experience in marketing analytics, consulting, or data science with strong analytical skills.
Undergraduate degree required; Master’s degree in related fields is a plus but not mandatory.
Proficiency in SQL, Python, R, or SAS and strong foundation in statistical modeling, A/B testing, and test-control analysis.
Experience with data visualization tools such as Tableau or Power BI and ability to communicate insights effectively to senior stakeholders.
Experienced in financial services, banking, or payments domain to align with Mastercard’s customer base.
Comfortable leading complex analytics projects and engaging with senior leadership with clarity and executive presence.
Familiarity or exposure to GenAI tools in marketing analytics considered beneficial.