Data Analyst Intern
@ UM IT Solutions

Hybrid
₹90,000
Hybrid
Intern
Posted 21 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXX XXXXXXXXXXXXX XXXXXXX***** @umitsolutions.com
Recommended after applying

Job Details

About Data Analyst Intern

Unified Mentor offers practical experience for students and graduates in data analysis to enhance career prospects and provide hands-on learning opportunities in a real-world environment.

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 graduate of a relevant program.
  • Strong analytical skills and attention to detail.
  • Familiarity with tools like Excel, SQL, or Python (preferred).
  • Excellent communication and teamwork abilities.

Benefits

  • Stipend: ₹7,500 - ₹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.

Key skills/competency

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

How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Research UM IT Solutions culture: Study their mission, values, and recent projects.
  • Customize your resume: Highlight data skills and internship projects.
  • Prepare examples: Demonstrate analytical and visualization work.
  • Practice technical questions: Review Excel, SQL, and Python queries.

📝 Interview Preparation Advice

Technical Preparation

Review Excel functions and formulas.
Practice SQL query writing.
Brush up on Python data libraries.
Explore data visualization tools.

Behavioral Questions

Describe a challenge with data analysis.
Explain teamwork in project scenarios.
Discuss how you handle feedback.
Share your learning process in analysis.

Frequently Asked Questions