Data Analyst Intern
@ UM IT PRIVATE LIMITED

Hybrid
₹120,000
Hybrid
Intern
Posted 21 days ago

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

Data Analyst Intern

Company: WebBoost Solutions by UM

Location: Remote

Duration: 3 months

Application Deadline: 12th 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 cleaning
  • data visualization
  • reporting
  • trends
  • collaboration
  • internship
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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 mission, values, and employee reviews.
  • Customize your resume: Highlight data analysis skills and projects.
  • Prepare technical questions: Practice Excel, SQL, and Python tests.
  • Showcase teamwork: Provide collaborative project examples.

📝 Interview Preparation Advice

Technical Preparation

Review Excel functions and formulas.
Practice SQL queries and database basics.
Write sample Python data scripts.
Analyze sample datasets for trends.

Behavioral Questions

Discuss teamwork and conflict resolution.
Explain handling project feedback.
Describe time management in projects.
Share past collaboration experiences.

Frequently Asked Questions