Data Analyst Intern
@ UM IT PRIVATE LIMITED

Hybrid
₹30,000
Hybrid
Intern
Posted 13 hours ago

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

About Data Analyst Intern

Company: WebBoost Solutions by UMLocation: RemoteDuration: 3 monthsApplication Deadline: 10th 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

  • Currently 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
  • reporting
  • visualization
  • communication
  • teamwork
  • data cleaning
  • trends
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How to Get Hired at UM IT PRIVATE LIMITED

🎯 Tips for Getting Hired

  • Research UM IT PRIVATE LIMITED's culture: Explore company values and projects online.
  • Customize your resume: Align past experiences with data analysis skills.
  • Highlight analytical tools: Emphasize Excel, SQL, and Python expertise.
  • Prepare for interviews: Practice data visualization and problem solving questions.

📝 Interview Preparation Advice

Technical Preparation

Review Excel functions and pivot tables.
Practice SQL queries and data manipulation.
Experiment with Python libraries for data analysis.
Develop sample reports and visualizations.

Behavioral Questions

Explain a time you solved data issues.
Describe teamwork on a data project.
Discuss handling tight deadlines effectively.
Share a challenge overcome in analysis.

Frequently Asked Questions