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Anand Rathi Wealth logo — Anand Rathi Wealth SQL Data Analyst in Pune, Maharashtra
Anand Rathi Wealth VerifiedActively Hiring

SQL Data Analyst

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Location

Pune, Maharashtra

Work Mode

In Office

Duration

0 months

Stipend

₹70,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Applications are open for the SQL Data Analyst position at Anand Rathi Wealth in Pune. You will join a working data analytics team, own a defined set of reports and analyses end to end, and see your findings turn into decisions that people act on. About the role This SQL Data Analyst role is…

About Anand Rathi Wealth

Anand Rathi Wealth is hiring a SQL Data Analyst in Pune — a full-time analytics role working in SQL and relational databases, with an indicative CTC of 5.2 LPA–11.5 LPA and 1 opening.
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Pune, MaharashtraVerified employer1 opening
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Skills Required

SQLQuery OptimisationJoins & Window FunctionsStored ProceduresData ModellingAdvanced ExcelPower BIData ValidationETL ConceptsIndexing BasicsAnalytical ThinkingDocumentation

Who Can Apply

  • B.E./B.Tech/BCA/MCA/B.Sc or an equivalent degree graduates with 0–3 years of relevant experience, based in Pune or willing to relocate. You should be comfortable with SQL, Query Optimisation, Joins & Window Functions, 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

Learning & certification support (SQL, Power BI, Tableau, cloud)Paid leaves and public holidaysFlexible / hybrid working optionsModern analytics tooling and licensed BI seatsClear appraisal cycle and internal mobilityEmployee wellness programmesTeam offsites and networking opportunitiesCompetitive salary as per market benchmarks

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
70,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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