Data Analyst Intern
@ UM IT PRIVATE LIMITED

Hybrid
₹15,000
Hybrid
Intern
Posted 5 hours ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @webboostsolutions.com
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Job Details

Data Analyst Intern (Paid)

Company: WebBoost Solutions by UM

Location: Remote

Duration: 3 months

Application Deadline: 13th October 2025

Opportunity: Full-time role based on performance + Internship Certificate

About WebBoost Solutions by UM

WebBoost Solutions by UM offers students and graduates hands-on experience in data analysis, helping them gain real-world skills and enhance their 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) (Paid)
  • Real-world data analysis experience
  • Certificate of Internship & Letter of Recommendation
  • 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 Cleaning
  • Data Analysis
  • Excel
  • SQL
  • Python
  • Reporting
  • Visualization
  • Trend Analysis
  • Collaboration
  • Attention to Detail
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How to Get Hired at UM IT PRIVATE LIMITED

🎯 Tips for Getting Hired

  • Research WebBoost Solutions by UM: Understand their mission and projects.
  • Customize your resume: Highlight relevant data skills.
  • Showcase analytical work: Emphasize data cleaning and trends.
  • Prepare for interviews: Practice common technical data questions.

📝 Interview Preparation Advice

Technical Preparation

Review Excel formulas and functions
Practice basic SQL queries
Learn Python data libraries
Understand data cleaning techniques

Behavioral Questions

Describe teamwork experiences briefly
Explain time management in projects
Discuss conflict resolution in teams
Share learning from past challenges

Frequently Asked Questions