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Aye Finance logo — Aye Finance SQL Data Analyst in Hyderabad, Telangana
Aye Finance VerifiedActively Hiring

SQL Data Analyst

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Location

Hyderabad, Telangana

Work Mode

In Office

Duration

0 months

Stipend

₹59,000/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 Aye Finance as a SQL Data Analyst in Hyderabad. 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 This SQL Data Analyst role is hands-on and…

About Aye Finance

Aye Finance is hiring a SQL Data Analyst in Hyderabad — a full-time analytics role working in SQL and relational databases, with an indicative CTC of 4.4 LPA–9.7 LPA and 1 opening.
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Hyderabad, TelanganaVerified 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 Hyderabad 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

Annual 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 holidaysFlexible / hybrid working optionsModern analytics tooling and licensed BI seatsBroad ownership and direct exposure to founders and senior decision-makers

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
59,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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