Associate Product Specialist

Title and Summary

Associate Product SpecialistWho 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: Associate Product Specialist (1-2 Years Experience)

Location: Gurgaon

Experience Level: 1-2 years

Department: Analytics Marketing Science Data Science

Employment Type: Full-time

Job Summary

We are seeking a results-oriented Marketing Analytics Specialist with 24 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 1-2 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.

Masters degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus.