Data Analyst Intern
@ UM IT PRIVATE LIMITED

Hybrid
₹120,000
Hybrid
Intern
Posted 21 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXX***** @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 + 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 analysis
  • Excel
  • SQL
  • Python
  • data visualization
  • reporting
  • data cleaning
  • trend analysis
  • communication
  • teamwork
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How to Get Hired at UM IT PRIVATE LIMITED

🎯 Tips for Getting Hired

  • Research UM IT PRIVATE LIMITED's culture: Study company mission and values.
  • Customize your resume: Highlight data analysis skills.
  • Emphasize technical expertise: Showcase Excel, SQL, Python projects.
  • Prepare for interviews: Practice data scenario questions.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries.
Review Excel functions.
Learn Python basics.
Explore data visualization tools.

Behavioral Questions

Describe a teamwork challenge.
Explain handling constructive criticism.
Share a time managing deadlines.
Discuss conflict resolution in teams.

Frequently Asked Questions