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Syrma SGS Technology logo — Syrma SGS Technology Entry Level Data Analyst in Ponda, Goa
Syrma SGS Technology VerifiedActively Hiring

Entry Level Data Analyst

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Location

Ponda, Goa

Work Mode

In Office

Duration

0 months

Stipend

₹29,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Build your data analytics career at Syrma SGS Technology as a Entry Level Data Analyst in Ponda. This is a full-time position with genuine ownership from the first month — your own datasets, your own dashboards, and stakeholders who rely on them. About the role In this Entry Level Data Analyst…

About Syrma SGS Technology

Syrma SGS Technology is hiring a Entry Level Data Analyst in Ponda — a full-time analytics role working in SQL, Excel and Power BI, with an indicative CTC of 2.4 LPA–4.6 LPA and 1 opening.
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Ponda, GoaVerified 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 Ponda 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
29,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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