Data Analyst Intern
@ UM IT Solutions

Hybrid
₹10,000
Hybrid
Intern
Posted 6 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @umit.solutions
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Job Details

About Data Analyst Intern

Company: UM IT SolutionsLocation: RemoteDuration: 3 monthsOpportunity: Full-time based on performance, with a Certificate of Internship

About the Role

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.
  • Build your portfolio with impactful projects.

How to Apply

Submit your application with "Data Analyst Intern Application" as the subject. Deadline: 12th October 2025

Equal Opportunity Employer

Unified Mentor is an equal opportunity employer, welcoming diverse applicants.

Key skills/competency

  • Data Analysis
  • Data Cleaning
  • Excel
  • SQL
  • Python
  • Reporting
  • Visualization
  • Analytical Skills
  • Teamwork
  • Communication
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How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to UM IT Solutions requirements.
  • Highlight technical expertise: Emphasize Excel, SQL, Python projects.
  • Showcase analytical projects: Include data analysis examples.
  • Prepare for interviews: Practice scenario-based data problems.

📝 Interview Preparation Advice

Technical Preparation

Practice Excel data cleaning techniques.
Learn basic SQL queries and functions.
Review Python data libraries basics.
Build simple data visualizations projects.

Behavioral Questions

Describe teamwork in a challenging scenario.
Explain a time you solved a data issue.
Discuss learning from feedback in projects.
Share how you manage deadlines.

Frequently Asked Questions