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Happay logo — Happay Business Intelligence (BI) Intern in Noida, Uttar Pradesh
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Business Intelligence (BI) Intern

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Location

Noida, Uttar Pradesh

Work Mode

Hybrid

Duration

3 months

Stipend

₹24,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Analytics

Apply Now — ₹24,000/moApply on Company Website ↗

About the Internship

Happay is hiring a Business Intelligence (BI) Intern in Noida — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to business intelligence and reporting rather than a certificate-only programme. About the role As a Business Intelligence (BI) Intern at…

About Happay

Happay offers a mentor-led Business Intelligence (BI) Intern in Noida with live project work in data analytics, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
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Noida, Uttar PradeshVerified employer2 openings
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Skills Required

Power BITableauAdvanced SQLData WarehousingData StorytellingDAXETL FundamentalsExcel (Advanced)KPI DesignDashboard UX

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, B.Sc/M.Sc (Statistics / CS), BBA/MBA, BCA or B.Com (Analytics) who are based in or willing to work from Noida. You should be keen to learn Power BI, Tableau, Advanced SQL 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

4 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. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
24,000/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryData Analytics
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