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Unnati logo — Unnati Data Visualization Internship in Greater Noida, Uttar Pradesh
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Data Visualization Internship

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Location

Greater Noida, Uttar Pradesh

Work Mode

Hybrid

Duration

4 months

Stipend

₹16,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Join Unnati in Greater Noida as a Data Visualization Internship. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data visualisation work. About the role As a Data Visualization Internship at Unnati, your…

About Unnati

Unnati offers a mentor-led Data Visualization Internship in Greater Noida with live project work in data analyst, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
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Greater Noida, Uttar PradeshVerified employer12 openings
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Skills Required

Data VisualisationPower BITableauDashboard DesignSQLExcelChart SelectionColour & AccessibilityStorytelling with DataUser Feedback

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA, B.Sc (Statistics/Mathematics), B.Com/BBA or MBA who are based in or willing to work from Greater Noida. You should be keen to learn Data Visualisation, Power BI, Tableau 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorDirect access to the team that owns the data you work on

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer
16,000/month

Stipend · 4 months

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Openings12 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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