Mastercard

Data Analyst Intern

InternshipIn OfficeChandigarh, Chandigarh3 months19K/mo2 openingsImmediate / Rolling

About this internship

Mastercard is hiring a Data Analyst Intern in Chandigarh — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to data and analytics rather than a certificate-only programme. About the role As a Data Analyst Intern at Mastercard, your core focus will be…

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Skills you'll use

SQLPythonExcelStatisticsData VisualisationPower BI / TableauData CleaningDashboardingHypothesis TestingStorytelling with Data

What you'll do

Work on turning raw data into decisions people act on alongside the core team
Apply SQL, Python, Excel, Statistics to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech/M.Sc (Statistics, Maths)/MCA/MBA (Analytics) — 2026 freshers & final-year students welcome
Working knowledge of SQL, Python, Excel (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Chandigarh, Chandigarh

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & selection process

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team
3HR discussion — stipend, start date, expectations and offer

About Mastercard

Mastercard operates in the payments technology sector and has an active presence in Chandigarh. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…

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