Manager, Marketing Analytics

Mastercard
Gurgaon, IndiaPosted 22 March 2026

Job Description

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Marketing Analytics Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients’ marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. Role: Manager (8–10 Years Experience) Location: Gurgaon Experience Level: 8–10 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time Job Summary We are seeking a results-oriented Marketing Analytics Lead with 8–10 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. Key Responsibilities • Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. • Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. • Develop predictive models to inform segmentation, personalization, and targeting strategies. • Provide thought leadership in marketing measurement and performance optimization. • Translate insights into business impact through crisp storytelling and stakeholder engagement. • Mentor junior analysts and contribute to best practices in analytics delivery. • Partner with marketing, finance, and data engineering to ensure robust data solutions. • Guide team through complex problem solving to business-focused solutions and recommendations that drive client value Basic qualifications • Undergraduate degree with 8-10 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. • Deep knowledge of business KPIs, financials and organizational leadership • Proficiency in tools such as SQL, Python, R, or SAS. • Strong foundation in A/B testing, test-contro ... (truncated, view full listing at source)
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