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South Indian Bank logo — South Indian Bank Data Analyst (Fresher) in Bicholim, Goa
South Indian Bank VerifiedActively Hiring

Data Analyst (Fresher)

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Location

Bicholim, Goa

Work Mode

Hybrid

Duration

0 months

Stipend

₹30,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Data Analyst

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About the Internship

South Indian Bank has an opening for a Data Analyst (Fresher) in Bicholim. If you enjoy digging into messy data, writing SQL that answers a real question and explaining the answer in plain language, this full-time data analytics role will suit you. About the role In this Data Analyst (Fresher)…

About South Indian Bank

South Indian Bank is hiring a Data Analyst (Fresher) in Bicholim — a full-time analytics role working in SQL, Excel and Power BI, with an indicative CTC of 2.4 LPA–4.7 LPA and 2 openings.
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Bicholim, GoaVerified 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 Bicholim 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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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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