Data Analyst Intern
@ UM IT PRIVATE LIMITED

Hybrid
₹120,000
Hybrid
Intern
Posted 7 hours ago

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XXXXXXXX XXXXXXXXXXX XXXXXXX***** @webboostsolutions.com
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Job Details

Data Analyst Intern

Company: WebBoost Solutions by UM

Location: Remote

Duration: 3 months

Application Deadline: 14th October 2025

Opportunity: Full-time role based on performance plus an Internship Certificate

About the Role

The Data Analyst Intern provides hands-on data analysis experience for students and graduates, helping build real-world skills and enhance career prospects.

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 a 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

Stipend & Benefits

  • Stipend: ₹7,500 - ₹15,000 (Performance-Based)
  • Real-world data analysis experience
  • Certificate of Internship & Letter of Recommendation
  • Opportunity to build your portfolio with impactful projects

How to Apply

Submit your application with the subject line "Data Analyst Intern Application."

Equal Opportunity

WebBoost Solutions by UM welcomes applicants from all backgrounds.

Key skills/competency

  • Data Analysis
  • Data Cleaning
  • Data Visualization
  • SQL
  • Python
  • Excel
  • Reporting
  • Trend Analysis
  • Communication
  • Teamwork
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How to Get Hired at UM IT PRIVATE LIMITED

🎯 Tips for Getting Hired

  • Research WebBoost Solutions: Understand their mission and portfolio.
  • Customize your resume: Highlight data analysis and tool skills.
  • Prepare your technical skills: Practice Excel, SQL, and Python projects.
  • Showcase teamwork: Emphasize collaboration in projects.

📝 Interview Preparation Advice

Technical Preparation

Review Excel functions and formulas.
Practice SQL query writing exercises.
Work on Python data analysis projects.
Analyze sample datasets using visualization tools.

Behavioral Questions

Describe a time you solved a data problem.
Explain how you handle team feedback.
Share experience with deadline challenges.
Discuss your approach to collaboration.

Frequently Asked Questions