Company Careers ·
full-timeAnalyst, Big Data Analytics & Engineering
Mastercard · Pune
Mastercard is a global technology company operating within the payments and financial services industry, focused on building secure and inclusive digital economies. This Analyst role in Big Data Analytics & Engineering is a techno-functional position based in Pune, centered on developing AI-driven tools to quantify the value of services during the pre-sales process. The daily responsibilities involve managing and analyzing large datasets using SQL, building interactive dashboards in platforms like Tableau or Power BI, and integrating advanced analytics to support strategic decision-making. You will act as a bridge between technical data processing and business requirements, collaborating closely with sales, marketing, and product teams to ensure that data-backed insights effectively communicate the company's value proposition to clients. This position is well-suited for candidates who possess strong technical proficiency in data manipulation and business intelligence, coupled with the ability to translate complex analytical findings into clear, actionable recommendations for senior leadership and cross-functional stakeholders. It requires a balance of technical rigor and business acumen to drive measurable impact through tool development and process optimization.
Education
- Level: Bachelor's degree
Key Skills
About the Role Analyst, Big Data Analytics & Engineering at Mastercard. Techno-functional position combining technical skills with business understanding. Focus on developing and maintaining advanced business analytics and AI-driven solutions for pre‑sales value quantification. Responsibilities Develop tools to quantify value of services during pre‑sales. Manage and analyse large datasets using SQL and other DBMS. Perform statistical analysis to identify trends. Utilize Tableau or Power BI to create dashboards and reports. Apply AI and advanced analytics to enhance pre‑sales tools. Collaborate with Sales, Marketing, Consulting, Product and other teams. Communicate insights and tool value through presentations and dashboards to senior leadership. Requirements Proficiency in data analytics tools and techniques. Experience creating insightful dashboards. Skills in SQL, Tableau, Power BI, AI, advanced analytics.
Skills for this role
| Role | Analyst, Big Data Analytics & Engineering |
|---|---|
| Company | Mastercard |
| Location | Pune |
| Type | internship |
| Compensation | Not disclosed |
| Posted | 2026-10-03 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Analyst, Big Data Analytics & Engineering at Mastercard: frequently asked questions
- Who can apply for the Analyst, Big Data Analytics & Engineering role at Mastercard?
- The listing asks for Bachelor's degree; freshers are welcome.
- What skills does the Analyst, Big Data Analytics & Engineering role require?
- The listing highlights SQL, Tableau, Power BI, AI, Advanced Analytics. Show each of these in a project or past role on your resume.
- What is the salary for this role?
- Mastercard has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Analyst, Big Data Analytics & Engineering position remote, hybrid or onsite?
- The listing gives Pune as the location and does not state a work mode.
- What is the application deadline?
- Mastercard has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Analyst, Big Data Analytics & Engineering role?
- Use the Apply button on this page. It opens the original listing on mastercard.wd1.myworkdayjobs.com, where you submit your application with the company.
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