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Raise Financial Services logo — Raise Financial Services Data Analyst Intern in Chennai, Tamil Nadu
Raise Financial Services VerifiedActively Hiring

Data Analyst Intern

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Location

Chennai, Tamil Nadu

Work Mode

In Office

Duration

3 months

Stipend

₹16,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Science

Apply Now — ₹16,000/moApply on Company Website ↗

About the Internship

Join Raise Financial Services in Chennai 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 Raise Financial…

About Raise Financial Services

Raise Financial Services offers a mentor-led Data Analyst Intern in Chennai with live project work in data science, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
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Chennai, Tamil NaduVerified employer2 openings
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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 Chennai. 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

4 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. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
16,000/month

Stipend · 3 months

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Openings2 positions
Applicants1 applied
ModeIn Office
CategoryData Science
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