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QualityKiosk Technologies logo — QualityKiosk Technologies Data Analyst Intern in Noida, Uttar Pradesh
QualityKiosk Technologies VerifiedActively Hiring

Data Analyst Intern

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Location

Noida, Uttar Pradesh

Work Mode

In Office

Duration

2 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Data Science

Apply Now — ₹18,000/moApply on Company Website ↗

About the Internship

Join QualityKiosk Technologies in Noida as a Data Analyst Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data and analytics work. About the role As a Data Analyst Intern at QualityKiosk…

About QualityKiosk Technologies

QualityKiosk Technologies offers a mentor-led Data Analyst Intern in Noida with live project work in data science, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Noida, Uttar PradeshVerified employer4 openings
Apply to QualityKiosk Technologies

Skills Required

SQLPythonExcelStatisticsData VisualisationPower BI / TableauData CleaningDashboardingHypothesis TestingStorytelling with Data

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech/M.Sc (Statistics, Maths)/MCA/MBA (Analytics) who are based in or willing to work from Noida. You should be keen to learn SQL, Python, Excel 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 mentor

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
18,000/month

Stipend · 2 months

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Openings4 positions
Applicants1 applied
ModeIn Office
CategoryData Science
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