Associate Analyst, Analytics & Metrics
Mastercard (company site, opens in a new tab)3–4 yrsMumbaiOn-siteDirect career pageEst. 12–18 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Manage and validate large, complex payments and transaction datasets using SQL, Python, and approved data platforms to ensure data quality and reliability.
- Develop and automate reports, dashboards (Power BI/Tableau), and analytical processes to deliver actionable insights supporting business decisions and growth opportunities.
- Collaborate with cross-functional teams to analyze trends, identify anomalies, and provide clear data-driven recommendations, while maintaining documentation and compliance with data governance standards.
Minimum Requirements
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science, Commerce, or related discipline.
- 3-4 years of experience in data analytics, business intelligence, data management, or related technical roles.
- Strong proficiency in SQL (including joins, aggregations, CTEs, window functions) and Python (pandas, NumPy).
- Good to have experience with Power BI, Tableau, Microsoft Excel (including formulas and pivot tables).
Ideal Candidate Profile
- Experienced in handling large datasets with proven data validation and quality issue resolution capabilities relevant to payment or transaction-intensive domains.
- Capable of translating complex business requirements into structured analytics and communicating findings clearly to both technical and non-technical stakeholders.
- Demonstrates ability to automate reporting workflows and work with distributed data processing tools like Databricks, Spark or PySpark (preferred).