KavakMexico City
new
MastercardPosted 2w ago
L1
Specialist Product Management
Specialist Product Management at Mastercard scores 0 out of 100 on AI centrality, which makes it a Level 1 role on this board.
Gurgaon, IndiamidFull time
AI in this role
Drive data-driven marketing products and consumer acquisition strategies as a specialist product manager at Mastercard.
product-managementmarketing-analyticsdata-scienceexperimentation
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
Specialist Product ManagementWho 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.
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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.
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Role: Analyst (3–4 Years Experience)
Location: Gurgaon
Experience Level: 3–4 years
Department: Analytics / Marketing Science / Data Science
Employment Type: Full-time
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Job Summary
We are seeking a results-oriented Marketing Analytics Specialist with 2–4 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.
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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.
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Basic qualifications
• Undergraduate degree with 3-4 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics.
• Proficiency in tools such as SQL, Python, R, or SAS.
• Strong foundation in A/B testing, test-control analysis, and statistical modelling.
• Proven ability to communicate insights effectively with clarity and executive presence.
• Experience with data visualization platforms (e.g., Tableau, Power BI).
• Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations
• Logical, structured thinking and affinity for statistical and numerical analysis
• Advanced Word, Excel, and PowerPoint skills
• Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment
• Ability to communicate effectively in English and the local office language (if applicable)
• Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs
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Preferred Qualifications
• Background in banking, payments, or financial institutions.
• Experience working on digital marketing, lifecycle campaigns, or customer analytics.
• Exposure to or hands-on use of GenAI tools for marketing insight generation or automation.
• Master’s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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Skills and AI tools this role asks for
Product ManagementMarketing AnalyticsData ScienceExperimentation
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where marketing analytics was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where experimentation was part of your work. What did you do?
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- List these exact terms on your resume: Product Management, Marketing Analytics, Data Science, and Experimentation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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