Senior Data Analyst
Mastercard (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 20–40 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain data engineering pipelines, advanced reports, and data visualization solutions supporting multi-product and multi-market analytics.
- Drive strategic business decisions by uncovering insights through advanced modeling and cross-functional projects leveraging large-scale databases and analytical tools.
- Lead and mentor junior analysts and data engineers, overseeing recruitment, training, and development to build analytic capabilities globally.
Minimum Requirements
- Strong experience in data management, data mining, analytics, reporting, and quantitative analysis.
- Advanced SQL skills and proficiency with BI/visualization tools such as Tableau, Power BI, and QlikView.
- Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Mathematics, or Statistics.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in managing and optimizing large-scale/big data environments using tools like Databricks, Microsoft Fabric, Cloudera Hadoop, cloud platforms (AWS, Azure), and programming (Python, PySpark, Hive, R).
- Skilled at translating complex data into clear, executive-level insights and recommendations with strong stakeholder management experience.
- Proven ability to lead and mentor cross-functional teams, with background in product data analytics and driving measurable business impact in fast-paced environments.