
Eligibility Criteria
Bachelorβs degree in Computer Science, Data Science, Business Analytics, Economics, Finance, or related field. Minimum 60% marks (or 6.5 CGPA) in the qualifying exam. No backlogs. Freshers from batch 2026 or 2027 are encouraged to apply. Candidates with internship or project experience in data analytics or AI are preferred.

Job Description & Key Responsibilities
Mastercard is a global technology leader in the payments industry, committed to powering an inclusive digital economy. With operations in over 200 countries, the company offers a range of secure payment solutions and innovative financial services. The organization places a strong emphasis on dataβdriven decision making, leveraging advanced analytics and AI to deliver value to customers and partners alike. In India, Mastercard has a growing presence, especially in Pune, where it supports a diverse workforce and fosters a culture of collaboration, continuous learning, and innovation.
The Analyst, Big Data Analytics & Engineering role is a technoβfunctional position that blends technical expertise with business acumen. As an analyst, you will design and develop tools that quantify the value of Mastercardβs services during the preβsales process. You will work closely with Sales, Marketing, Consulting, and Product teams to translate complex data sets into actionable insights that help internal stakeholders articulate ROI to potential clients. Your responsibilities include managing large data repositories, writing efficient SQL queries, performing statistical analysis, and building interactive dashboards in Tableau or Power BI. You will also apply machine learning techniques to enhance preβsales tools, enabling dataβdriven recommendations that improve customer engagement and drive business outcomes.
Key responsibilities include: 1) Developing valueβquantification models and ROI calculators; 2) Extracting and cleaning data from relational databases; 3) Performing trend analysis and correlation studies; 4) Building and maintaining dashboards; 5) Integrating AI/ML algorithms; 6) Collaborating with crossβfunctional teams; 7) Presenting findings to senior leadership; 8) Optimizing processes for efficiency; 9) Ensuring data security and compliance; 10) Staying updated on industry best practices.
The tech stack you will work with includes SQL, Python, R, Tableau, Power BI, Excel, and cloud data platforms. Growth opportunities are abundant: from analyst to senior analyst, data scientist, or product manager roles. Mastercardβs culture encourages experimentation, values diversity, and rewards high performance. Employees enjoy a healthy workβlife balance, flexible working arrangements, and access to global learning resources.
If you are passionate about turning data into business value and want to work in a dynamic, inclusive environment, this role offers a unique chance to shape the future of internal operations at one of the worldβs leading payment companies.