Data Analyst Intern
@ UM IT PRIVATE LIMITED

Hybrid
₹180,000
Hybrid
Intern
Posted 8 hours ago

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

About Data Analyst Intern

Company: WebBoost Solutions by UMLocation: RemoteDuration: 3 monthsApplication Deadline: 13th October 2025Opportunity: 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)
  • 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
  • Data Cleaning
  • Excel
  • SQL
  • Python
  • Visualization
  • Reporting
  • Critical Thinking
  • Teamwork
  • Communication
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How to Get Hired at UM IT PRIVATE LIMITED

🎯 Tips for Getting Hired

  • Research WebBoost Solutions by UM: Review mission, culture, and recent projects.
  • Customize your resume: Highlight data analysis and technical skills.
  • Prepare examples: Showcase past data projects and achievements.
  • Practice interview questions: Focus on analytical and teamwork skills.

📝 Interview Preparation Advice

Technical Preparation

Review Excel functions and formulas.
Practice SQL queries and database normalization.
Solve basic Python data manipulation exercises.
Analyze sample datasets for trends.

Behavioral Questions

Describe a time you solved a complex problem.
Explain teamwork on challenging assignments.
Detail how you handle tight deadlines.
Discuss communicating technical ideas to non-experts.

Frequently Asked Questions