Analyst, Big Data Analytics & Engineering
Mastercard (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 12–22 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, maintain, and optimize AI-driven and analytics tools to quantify Mastercard's service value in pre-sales processes, enhancing internal communication and customer engagement.
- Manage and analyze large datasets with SQL; create business intelligence dashboards and reports using platforms like Tableau or Power BI to deliver actionable insights.
- Collaborate cross-functionally with Sales, Marketing, Consulting, and Product teams to ensure tools meet business needs and present insights to senior leadership to drive adoption and business outcomes.
Minimum Requirements
- Bachelor's degree in data science, Computer Science, Business Analytics, Economics, Finance, or related field.
- Proficiency in SQL and experience with business intelligence tools such as Tableau or Power BI.
- Experience with AI/ML concepts, familiarity with Python or R for machine learning model development.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong techno-functional expertise combining technical skills and business understanding with a focus on pre-sales value quantification solutions.
- Experience working in cross-functional teams to translate business requirements into analytical tools and data-driven insights.
- Comfortable presenting complex data insights and tool value effectively to senior leadership to drive strategic decision-making and adoption.