Specialist Product Management

Overview

Join Mastercard's Consumer Acquisition & Engagement team within Services as an Analyst focused on marketing analytics, A/B testing, and predictive modelling for data-driven marketing products.

What you'll do

• 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.

What you'll need

• 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.

Nice to have

• 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.

Details

• Location: Gurgaon.
• Employment type: Full-time.