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Vodex logo — Vodex Data Analyst Intern in Aurangabad, Maharashtra
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Data Analyst Intern

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Location

Aurangabad, Maharashtra

Work Mode

Hybrid

Duration

3 months

Stipend

₹16,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Data Science

Apply Now — ₹16,000/moApply on Company Website ↗

About the Internship

Vodex is hiring a Data Analyst Intern in Aurangabad — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to business data analysis rather than a certificate-only programme. About the role As a Data Analyst Intern at Vodex, your core focus will be…

About Vodex

Vodex offers a mentor-led Data Analyst Intern in Aurangabad with live project work in data science, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
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Aurangabad, MaharashtraVerified employer12 openings
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Skills Required

SQLExcel / Google SheetsPython (Pandas)Power BI / TableauData VisualisationBusiness MetricsCohort & Funnel AnalysisData ValidationReportingStakeholder Communication

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA who are based in or willing to work from Aurangabad. You should be keen to learn SQL, Excel / Google Sheets, Python (Pandas) on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
16,000/month

Stipend · 3 months

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Openings12 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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