Amazon

Data Analyst Intern

InternshipWork from HomeBengaluru, Karnataka3 months42K/mo2 openingsImmediate / Rolling

About this internship

Start your career in data analytics with Amazon as a Data Analyst Intern in Bengaluru. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Data Analyst Intern at Amazon, your core focus will be answering…

Skills you'll use

SQLAdvanced ExcelPower BITableauPython (Pandas)Data CleaningStatisticsKPI DesignStorytelling with DataStakeholder Communication

What you'll do

Work on answering business questions with SQL, Excel and dashboards alongside the core team
Apply SQL, Advanced Excel, Power BI, Tableau 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/B.Sc/B.Com/BBA/MBA — 2026 freshers & final-year students welcome
Working knowledge of SQL, Advanced Excel, Power BI (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 Bengaluru, Karnataka

Perks & benefits

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Online aptitude / domain assessment

About Amazon

Amazon operates in the technology & e-commerce sector and has an active presence in Bengaluru. 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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