Navi Mumbai · On-site
Associate Analyst, Analytics & Metrics
- Salary
- ₹30k–60kper monthEstimated from Indeed data for this role across companies. The employer has not stated pay.
- Experience
- 3–4 years
- Eligible batches
- 2022 · 2023
- Location
- Navi MumbaiOn-site
About the role
MasterCard is looking for a data‑focused Associate Analyst to turn large‑scale payments and transaction data into clear reports and actionable insights. Based in Navi Mumbai, the role blends data preparation, quality checks, SQL and Python analysis, dashboard creation and automation while partnering with business, product and technology teams.
Responsibilities
- Extract, cleanse and validate massive datasets from internal and external sources using SQL, Python, Excel and approved platforms.
- Perform data‑quality reviews, document lineage and resolve discrepancies or escalate as needed.
- Analyse transaction data to surface trends, anomalies, customer behaviour and operational opportunities using statistical techniques.
- Write optimized SQL queries and Python (pandas/NumPy) scripts; work with Databricks notebooks and Spark/PySpark for distributed processing.
- Automate recurring reports and validation routines to reduce manual effort.
- Build and maintain Power BI or Tableau dashboards, prepare ad‑hoc reports and present findings to technical and non‑technical stakeholders.
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Eligibility
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science, Commerce or a related field.
- 3‑4 years of experience in data analytics, business intelligence, data management or a comparable technical role.
- Ability to handle sensitive data responsibly and comply with security and privacy policies.
Skills
- Strong SQL proficiency (joins, CTEs, window functions, aggregations).
- Python expertise, especially pandas and NumPy for data manipulation.
- Experience with data‑visualisation tools such as Power BI or Tableau.
- Advanced Excel skills, including formulas, pivot tables and Power Query.
- Understanding of statistical analysis, trend detection and model testing.
- Effective written and verbal communication for reporting and stakeholder engagement.
Resume keywords
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Asked for
- SQL
- Python
- Pandas
- NumPy
- Power BI
- Tableau
- Excel
- Statistics
- Data analysis
- Databricks
Nice to have
- Spark
- PySpark
- Git
- Machine learning
- API
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About MasterCard
Global technology leader in the payments industry
Founded 1966 · 1001-5000 employees · HQ New York, USA
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