Specialist Product Management

Mastercard; Gurugram District; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Mastercard is seeking a Marketing Analytics Specialist with 2–4 years of experience to own advanced data analyses, A/B testing, and portfolio optimization. You will work with senior stakeholders to translate insights into actionable marketing strategies, with exposure to GenAI in marketing analytics being a plus.

Experience in banking/payments is preferred. Strong SQL/Python/R skills and data visualization expertise are essential for success in this role.

Qualifications

• Undergraduate degree with strong marketing analytics focus.
• Proficiency in SQL, Python, R or SAS.
• Experience in A/B testing and statistical modelling.
• Ability to communicate insights with executive presence.
• Experience with data visualization tools (Tableau/Power BI).
• Excellent Excel and PowerPoint skills.

Responsibilities

• Lead design and execution of A/B tests and campaign analytics.
• Deep-dive analysis of customer journeys and marketing funnels.
• Develop predictive models for segmentation and targeting.
• Provide thought leadership in marketing measurement and optimization.
• Translate insights into business impact for stakeholders.

Skills

A/B testing

Data analysis

Executive communication

Education

Bachelor’s degree in a quantitative field

Master’s degree in Data Science

Tools

SQL

Python

R

SAS

Tableau

Power BI

Excel

PowerPoint

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

Specialist Product Management

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

Analyst (3-4 Years Experience)

Location: Gurgaon

Experience Level: 3-4 years

Department: Analytics / Marketing Science / Data Science

Employment Type: Full-time

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.

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.

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

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,