Analyst, Big Data Analytics & Engineering

Skip to main content Analyst, Big Data Analytics & Engineering page is loaded Analyst, Big Data Analytics & Engineering Apply locationsPune, India time typeFull time posted onPosted Today time left to applyEnd Date: October 5, 2026 (21 hours left to apply) job requisition idR-289988 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 & Engineering Overview: 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.

\\_\\_\\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Position Overview 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. \\_\\_\\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ 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.

\\_\\_\\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ 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 \\_\\_\\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ 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.

About Us Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers.

Retailers want to fight fraud; we provide the tools. Read More Follow Us - YouTube - X - Facebook - LinkedIn © 2026 Workday, Inc. All rights reserved.