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Aye Finance logo — Aye Finance Remote Data Analyst in Thane, Maharashtra
Aye Finance VerifiedActively Hiring

Remote Data Analyst

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Location

Thane, Maharashtra

Work Mode

Work from Home

Duration

0 months

Stipend

₹40,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹40,000/moApply on Company Website ↗

About the Internship

Join Aye Finance in Thane as a Remote Data Analyst. 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 This Remote Data Analyst role is hands-on and delivery-focused. Expect to…

About Aye Finance

Aye Finance is hiring a Remote Data Analyst in Thane — a full-time analytics role working in SQL, Excel and Power BI, with an indicative CTC of 3.2 LPA–6.3 LPA and 2 openings.
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Thane, MaharashtraVerified employer2 openings
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Skills Required

SQLAdvanced ExcelPower BITableauPython (Pandas)Data CleaningData VisualizationDescriptive StatisticsDashboardingBusiness AcumenStakeholder CommunicationDocumentation

Who Can Apply

  • B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics / Data Science), B.Com, BBA or MBA graduates with 0–2 years of relevant experience, based in Thane 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

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 seats

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
40,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeWork from Home
CategoryData Analyst
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