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Data Analyst Intern

UM IT Solutions

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Original Job Summary

Data Analyst Intern

Company: Unified Mentor

Location: Remote

Duration: 3 months

Opportunity: Full-time based on performance, with a Certificate of Internship

About Unified Mentor

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: 08th October 2025

Key skills/competency

  • Data Analysis
  • Data Cleaning
  • Reporting
  • Visualization
  • Excel
  • SQL
  • Python
  • Trend Analysis
  • Attention to Detail
  • Teamwork

How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Research Unified Mentor's culture: Study mission, work practices and values online.
  • Customize your resume: Emphasize data analysis and visualization skills.
  • Highlight technical skills: Include Excel, SQL, Python experiences.
  • Prepare for technical interviews: Review data cleaning and analytics projects.

📝 Interview Preparation Advice

Technical Preparation

Brush up on Excel and SQL basics.
Practice Python data libraries exercises.
Review dataset cleaning techniques.
Study report generation and visualization tools.

Behavioral Questions

Describe a challenge in data analysis.
Explain teamwork in project settings.
Discuss learning from mistakes in analytics.
Share conflict resolution in team projects.