Analyst, Big Data Analytics & Engineering

Round 1: Technical interview (SQL, Python, Data Analysis) → Round 2: Technical interview (AI/ML, Tableau/Power BI) → Round 3: HR interview

Mastercard promotes an inclusive, innovative culture that values collaboration and continuous learning. Employees enjoy a healthy work‑life balance, flexible working arrangements, and opportunities for global exposure and skill development.

Candidates typically undergo a three‑stage interview process: an initial technical round focusing on SQL, Python, and data analysis; a second technical round covering AI/ML concepts and BI tools like Tableau or Power BI; and a final HR round that assesses cultural fit and communication skills. The difficulty level is moderate to high, with emphasis on problem‑solving and real‑world data scenarios.

Bachelor’s 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.

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 data‑driven 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 techno‑functional position that blends technical expertise with business acumen. As an analyst, you will design and develop tools that quantify the value of Mastercard’s services during the pre‑sales 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 pre‑sales tools, enabling data‑driven recommendations that improve customer engagement and drive business outcomes. Key responsibilities include: 1) Developing value‑quantification 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 cross‑functional 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. Mastercard’s culture encourages experimentation, values diversity, and rewards high performance. Employees enjoy a healthy work‑life 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 world’s leading payment companies.