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Social Panga logo — Social Panga Data Analyst (Fresher) in Jaipur, Rajasthan
Social Panga VerifiedActively Hiring

Data Analyst (Fresher)

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Location

Jaipur, Rajasthan

Work Mode

Work from Home

Duration

0 months

Stipend

₹30,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹30,000/moApply on Company Website ↗

About the Internship

Join Social Panga in Jaipur as a Data Analyst (Fresher). The role sits close to the business: you will define the metrics, build the reporting behind them, and be the person the team asks when a number looks wrong. About the role In this Data Analyst (Fresher) position you will be trusted with…

About Social Panga

Social Panga is hiring a Data Analyst (Fresher) in Jaipur — a full-time analytics role working in SQL, Excel and Power BI, with an indicative CTC of 2.4 LPA–4.8 LPA and 1 opening.
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Jaipur, RajasthanVerified employer1 opening
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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 Jaipur 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

Flexible / hybrid working optionsModern analytics tooling and licensed BI seatsClear appraisal cycle and internal mobilityEmployee wellness programmesTeam offsites and networking opportunitiesCompetitive salary as per market benchmarksAnnual performance bonus / variable payHealth insurance for you and your dependants

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Technical interview 1 — SQL joins, aggregations, window functions and data modelling
  3. 3Case study / take-home assignment on a real dataset, with a walkthrough of your approach
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
30,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeWork from Home
CategoryData Analyst
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