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FinAGG logo — FinAGG Python Data Analyst Intern in Gurugram, Haryana
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Python Data Analyst Intern

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Location

Gurugram, Haryana

Work Mode

In Office

Duration

6 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹21,000/moApply on Company Website ↗

About the Internship

Join FinAGG in Gurugram as a Python 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 Python-based analytics and automation work. About the role As a Python Data Analyst Intern at FinAGG…

About FinAGG

FinAGG offers a mentor-led Python Data Analyst Intern in Gurugram with live project work in data analyst, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gurugram, HaryanaVerified employer14 openings
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Skills Required

PythonPandas & NumPyMatplotlib & SeabornSQLJupyter NotebooksData CleaningExploratory Data Analysis (EDA)APIs & JSONGitScripting & Automation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA/MCA, B.Sc/M.Sc (Statistics / Data Science) who are based in or willing to work from Gurugram. You should be keen to learn Python, Pandas & NumPy, Matplotlib & Seaborn 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

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
21,000/month

Stipend · 6 months

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Openings14 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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