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Airtel Payments Bank logo — Airtel Payments Bank Graduate Data Analyst in Vadodara, Gujarat
Airtel Payments Bank VerifiedActively Hiring

Graduate Data Analyst

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Location

Vadodara, Gujarat

Work Mode

In Office

Duration

0 months

Stipend

₹36,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Airtel Payments Bank is hiring a Graduate Data Analyst in Vadodara. This is a full-time, permanent role for candidates who want to work on real data analytics problems — owning datasets, numbers and reporting that the business actually makes decisions on, not practice exercises. About the role In…

About Airtel Payments Bank

Airtel Payments Bank is hiring a Graduate Data Analyst in Vadodara — a full-time analytics role working in SQL, Excel and Power BI, with an indicative CTC of 3 LPA–5.6 LPA and 2 openings.
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Vadodara, GujaratVerified employer2 openings
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Skills Required

SQLAdvanced ExcelPower BITableauPython (Pandas)Data CleaningData VisualizationDescriptive StatisticsDashboardingBusiness AcumenStakeholder CommunicationDocumentation

Who Can Apply

  • any graduate — B.E./B.Tech, B.Sc, BCA/MCA, B.Com, BBA or MBA graduates with 0–1 years of relevant experience, based in Vadodara or willing to relocate. You should be comfortable with SQL, Advanced Excel, Power BI, able to work independently on a defined analytical question, and able to communicate the answer in plain language. Freshers and 2026 graduates are explicitly welcome — a portfolio of real analysis counts for more than years on a CV.

Perks

Team offsites and networking opportunitiesCompetitive salary as per market benchmarksAnnual performance bonus / variable payHealth insurance for you and your dependantsProvident Fund and statutory benefitsStructured onboarding and mentorshipLearning & certification support (SQL, Power BI, Tableau, cloud)Paid leaves and public holidays

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Hiring manager discussion — role expectations, ownership and team fit
  3. 3Online assessment — SQL, Excel and quantitative aptitude
  4. 4Technical interview 1 — SQL joins, aggregations, window functions and data modelling
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
36,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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