Data Analyst

Round 1: Online Assessment (aptitude, logical reasoning, basic coding) → Round 2: Technical Interview (SQL, analytics case studies, AI/ML concepts) → Round 3: HR Interview (fitment, cultural alignment, career aspirations)

Mastercard promotes a collaborative and inclusive work environment where employees are encouraged to innovate and take ownership. The company offers structured learning programs, mentorship and a healthy work‑life balance, allowing staff to grow both professionally and personally.

The Mastercard interview process typically starts with a timed online assessment focusing on aptitude and basic coding. Successful candidates move to a technical interview where they solve SQL queries, discuss analytics case studies and may be asked to design a simple ML model. The final HR round evaluates cultural fit, communication skills and career goals. Preparation should include strong fundamentals in data analysis, clear articulation of past projects, and familiarity with Mastercard’s values.

Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance or related field; Minimum 60% aggregate (or equivalent CGPA); No active backlogs at the time of joining; Fresh graduates of 2025‑2027 batches are preferred; Strong analytical mindset and willingness to learn.

Mastercard is a global technology leader in the payments ecosystem, operating in more than 210 countries and territories. With a mission to power an inclusive digital economy, Mastercard combines secure data, cutting‑edge technology and innovative solutions to enable individuals, businesses, governments and financial institutions to thrive. The company’s culture is built around its Decency Quotient (DQ), which emphasizes respect, integrity and inclusivity, fostering an environment where diverse ideas are welcomed and collaboration drives impact. Employees benefit from robust learning programs, mentorship, and a clear pathway to grow into leadership roles while contributing to products that shape the future of commerce. The Analyst, Big Data Analytics & Engineering role is a techno‑functional position based in Pune, focusing on building and maintaining advanced analytics and AI‑driven tools that quantify the value of Mastercard’s services during the pre‑sales cycle. The analyst will work closely with sales, marketing, consulting and product teams to translate business requirements into data‑centric solutions, delivering dashboards, ROI calculators and predictive models that help internal stakeholders articulate value propositions to customers. This role blends strong SQL and data‑management capabilities with expertise in business intelligence platforms, statistical analysis, and machine learning, ensuring that insights are both actionable and aligned with strategic objectives. Key Responsibilities: 1. Design and develop quantitative tools that showcase the financial impact of Mastercard services for prospective clients. 2. Extract, clean, and analyse large data sets using SQL and related database technologies. 3. Perform statistical analyses to uncover trends, correlations and actionable insights. 4. Build interactive dashboards and reports in Tableau or Power BI to visualise value metrics. 5. Integrate AI/ML models to enhance pre‑sales tools, providing predictive insights and scenario analysis. 6. Collaborate with cross‑functional teams (Sales, Marketing, Consulting, Product) to gather requirements and ensure solution relevance. 7. Present findings and tool demonstrations to senior leadership and internal stakeholders. 8. Continuously optimise existing processes and tools based on feedback and performance metrics. 9. Document methodologies, data pipelines and best practices for knowledge sharing. 10. Stay updated with emerging analytics, AI and data‑visualisation technologies to drive innovation. Tech Stack: SQL, Python (pandas, scikit‑learn), R, Tableau, Power BI, Advanced Excel, AI/ML libraries, Git, cloud data platforms (AWS/GCP/Azure). Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, then to Manager, Senior Manager and eventually Director of Analytics or Value Enablement, with opportunities to lead large‑scale transformation projects across the globe. Why Join Mastercard? You will be part of a world‑renowned brand that values diversity, continuous learning and social impact. The role offers exposure to cutting‑edge analytics, direct interaction with senior business leaders, and the chance to influence how millions of transactions are valued worldwide. Competitive compensation, comprehensive benefits, and a supportive culture make Mastercard an ideal launchpad for ambitious data professionals.