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Data Analyst Intern

UM IT Solutions

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Original Job Summary

Data Analyst Intern at Unified Mentor

The Data Analyst Intern position at Unified Mentor offers practical experience in data analysis. This remote internship is a 3-month full-time opportunity with potential for extension based on performance, and includes a Certificate of Internship.

Responsibilities

  • Collect, clean, and analyze datasets
  • Develop reports and data visualizations
  • Identify trends and patterns in data
  • Collaborate on presentations and insights

Requirements

  • Enrolled in or graduated from a relevant program
  • Strong analytical skills and attention to detail
  • Familiarity with Excel, SQL, or Python preferred
  • Excellent communication and teamwork abilities

Benefits

  • Stipend ranging from ₹7,500 to ₹15,000 (performance-based)
  • Real-world data analysis experience
  • Certificate of Internship and Letter of Recommendation
  • Opportunity to build your portfolio with impactful projects

How to Apply

Submit your application with "Data Analyst Intern Application" as the subject before the deadline on 10th October 2025.

Unified Mentor is an equal opportunity employer welcoming diverse applicants.

Key skills/competency

  • Data Analysis
  • Data Cleaning
  • Reporting
  • Visualization
  • Excel
  • SQL
  • Python
  • Trends
  • Collaboration
  • Communication

How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Research Unified Mentor's culture: Study their mission and employee reviews.
  • Customize your resume: Highlight data analytics skills relevant to the role.
  • Showcase project work: Include data cleaning and reporting projects.
  • Practice technical questions: Brush up on Excel, SQL, and Python.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query practices.
Practice Python data analysis libraries.
Master Excel functions for data cleaning.
Learn visualization tools basics.

Behavioral Questions

Describe teamwork experience in projects.
Explain problem-solving during data analysis.
Discuss time management in project deadlines.
Share communication experiences in team tasks.