Mastercard is Hiring Analyst, Big Data Analytics & Engineering in Pune
Value Quantification & Pre-Sales Analytics Team
Crack Your Data Analyst Interview
Master SQL, Excel, Power BI, Python, Statistics, Business Analytics & HR interviews with 850+ curated interview questions in one structured guide.
Inspired by Interview Trends Across:
Job Overview
Mastercard is hiring an Analyst, Big Data Analytics & Engineering in Pune for a techno-functional role combining data analytics, business intelligence, AI, and business problem-solving.
The role focuses on developing value quantification and pre-sales analytics solutions that help internal teams demonstrate the business value of Mastercard services. The position involves working with large datasets, developing dashboards, applying statistical and AI/ML techniques, and collaborating cross-functionally.
💡 Why this role?
This opportunity places you at the intersection of business strategy and advanced analytics. You will leverage SQL, Python/R, AI/ML, and BI platforms (Tableau/Power BI) to build strategic ROI calculators and predictive models that drive client acquisition at a leading global fintech company.
Key Responsibilities
-
Develop robust tools to quantify the value of Mastercard services during the critical pre-sales process.
-
Analyze and manage massive datasets utilizing advanced SQL and robust database management systems.
-
Perform deep statistical analysis to identify behavioral trends, product correlations, and actionable market insights.
-
Build dynamic dashboards, reports, and visualization layers using Tableau, Power BI, or similar enterprise BI platforms.
-
Integrate AI, machine learning algorithms, and advanced analytics techniques seamlessly into scalable pre-sales tools.
How to Apply
Click Apply Button
Scroll down and click the primary orange "Apply Now" button below.
Visit Mastercard Career Portal
You will be redirected to the official Mastercard careers portal. Search for Job ID R-289988 if required.
Submit Application
Complete your profile, highlight your SQL, BI, and predictive modeling experience, and submit your resume before Sept 18, 2026.
⚠️ Data Analytics roles at top fintech companies fill up rapidly. Apply as soon as possible.