MastercardAnalyst, Big Data Analytics & Engineering
Mastercard is hiring an Analyst, Big Data Analytics & Engineering in Pune, India. Level rates it ; you can apply on Level.
AI in this role
Develops and maintains advanced business analytics and AI-driven solutions for pre-sales value quantification and data management.
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
Analyst, Big Data Analytics & EngineeringOverview:Job Title: Analyst, Value Enablement & Optimization, Insights & Enablement, (Global Role, Based in Pune, India)
About Mastercard
Mastercard is a global technology leader in the payments industry, committed to powering an inclusive, digital economy that benefits everyone, everywhere. By leveraging secure data, cutting-edge technology, and innovative solutions, we empower individuals, financial institutions, governments, and businesses to achieve their potential.
Our culture is driven by our Decency Quotient (DQ), ensuring inclusivity, respect, and integrity guide everything we do. Operating across 210+ countries and territories, Mastercard is dedicated to building a sustainable world with priceless opportunities for all.
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Position Overview
Based in Gurgaon, India, this is a techno-functional position that combines strong technical skills with a deep understanding of business needs and requirements. The role focuses on developing and maintaining advanced business analytics and AI-driven solutions for pre-sales value quantification. As an Analyst, you will be responsible for creating and optimizing tools that help Mastercard’s internal teams quantify the value of services, enhance customer engagement, and drive business outcomes. You will combine AI and analytics to deliver actionable insights, empowering teams to make informed decisions and strengthen client value propositions. The role requires close collaboration across teams to ensure tools meet business needs and deliver measurable impact.
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Role Responsibilities
1. Value Quantification & Tool Development
Develop tools and solutions to quantify the value of Mastercard’s services during the pre-sales process, enabling internal teams to effectively communicate value to customers.
2. Data Analysis and Management
Manage and analyse large datasets using SQL and other database management systems to support value quantification efforts.
Perform statistical analysis to identify trends, correlations, and insights that inform strategic decisions
3. Business Intelligence and Reporting
Utilize business intelligence platforms such as Tableau or Power BI to create insightful dashboards and reports that communicate the value of services
Generate actionable insights from data to inform strategic decisions and provide clear, data-backed recommendations
3. AI & Analytics Integration for Business Impact
Use AI and advanced analytics techniques to enhance pre-sales tools, enabling data-driven insights that support customer engagement, strategic decision-making, and business outcomes.
4. Cross-Functional Collaboration & Stakeholder Engagement
Collaborate with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful tool development and deployment.
Communicate insights and tool value through compelling presentations and dashboards to senior leadership and internal teams, ensuring tool adoption and usage to senior leadership and internal teams, ensuring tool adoption and usage.
5. Insight Generation, Reporting & Process Optimization
Generate actionable insights from data to inform strategic decisions, providing clear, data-backed recommendations to improve pre-sales efforts and customer engagement.
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All About You
Data Analytics and Business Intelligence:
Proficiency in data analytics tools and techniques to analyse and interpret complex datasets.
Experience in creating insightful dashboards and reports using business intelligence platforms such as Tableau, Power BI, or similar tools.
AI and Machine Learning:
Knowledge of AI and machine learning algorithms to enhance pre-sales tools and generate data-driven insights.
Familiarity with programming languages such as Python or R for developing and implementing machine learning models
Advanced Excel Skills:
Strong skills in Excel, including advanced functions, pivot tables, and data visualization, to build and optimize ROI calculators and other analytical tools
Database Management and SQL:
Experience with database management systems and proficiency in SQL for querying and managing large datasets
Web-Based Platforms:
Understanding of web-based platforms and tools for developing end-to-end solutions that cater to pre-sales needs
Statistical Analysis:
Ability to perform statistical analysis to identify trends, correlations, and insights that support strategic decision-making
Cross-Functional Collaboration:
Strong collaboration skills to work effectively with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful tool development and deployment
Communication and Presentation:
Excellent communication skills to convey insights and tool value through compelling presentations and dashboards to senior leadership and internal teams
Execution Focus
A results-driven mindset with the ability to balance strategic vision with tactical execution, ensuring that tools and solutions are delivered on time and create measurable business value.
Education
Bachelor’s degree in data science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, or AI/ML are preferred
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Why Us?
At Mastercard, you’ll have the opportunity to shape the future of internal operations by leading the development of value quantification solutions that empower teams across the organization. Join us to make a meaningful impact, drive business outcomes, and help Mastercard’s internal teams create better customer engagement strategies through innovative value-based ROI narratives.
Location: Pune, India
Employment Type: Full-Time
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.
How we rate this
Analyst, Big Data Analytics & Engineering at Mastercard rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where big data was part of your work. What did you do?
- Tell me about a project where value quantification was part of your work. What did you do?
- What's a project where you used SQL hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Big Data, Value Quantification, and SQL. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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