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CoRover.ai logo — CoRover.ai Analytics Engineering Intern in Noida, Uttar Pradesh
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Analytics Engineering Intern

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Location

Noida, Uttar Pradesh

Work Mode

Hybrid

Duration

6 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Join CoRover.ai in Noida as an Analytics Engineering Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on analytics engineering and the data warehouse work. About the role As an Analytics Engineering…

About CoRover.ai

CoRover.ai offers a mentor-led Analytics Engineering Intern in Noida with live project work in data analyst, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Noida, Uttar PradeshVerified employer14 openings
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Skills Required

SQLdbt (Data Build Tool)Data ModellingETL / ELT PipelinesPythonSnowflake / BigQueryGit & Version ControlData TestingAirflow BasicsWarehouse Performance

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA/MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Noida. You should be keen to learn SQL, dbt (Data Build Tool), Data Modelling 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 mentorBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
23,000/month

Stipend · 6 months

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Openings14 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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