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Data Analyst Intern

UM IT PRIVATE LIMITED

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Original Job Summary

Data Analyst Intern

UM IT PRIVATE LIMITED is offering a paid internship position for a Data Analyst Intern opportunity through WebBoost Solutions by UM.

Location: RemoteDuration: 3 monthsApplication Deadline: 08th October 2025Opportunity: Full-time role based on performance plus Internship Certificate

About WebBoost Solutions by UM

WebBoost Solutions by UM provides students and graduates hands-on experience in data analysis, helping build real-world skills and 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 ranging from ₹7,500 - ₹15,000 (Performance-Based, Paid)
  • Real-world data analysis experience
  • Internship Certificate & Letter of Recommendation
  • Opportunity to build portfolio with impactful projects

How to Apply

Submit your application with the subject line "Data Analyst Intern Application." UM IT PRIVATE LIMITED is an equal opportunity employer welcoming applicants from all backgrounds.

Key skills/competency

  • Data Analysis
  • Data Cleaning
  • Excel
  • SQL
  • Python
  • Reporting
  • Visualization
  • Trend Analysis
  • Teamwork
  • Communication

How to Get Hired at UM IT PRIVATE LIMITED

🎯 Tips for Getting Hired

  • Research UM IT PRIVATE LIMITED: Learn about their culture and mission.
  • Customize your resume: Highlight analytical and technical skills.
  • Review job requirements: Emphasize relevant coursework and projects.
  • Practice data tool proficiency: Prepare for technical screening.

📝 Interview Preparation Advice

Technical Preparation

Review Excel functions and formulas.
Practice SQL queries and database management.
Study basics of Python for data analysis.
Work on data cleaning and visualization techniques.

Behavioral Questions

Explain teamwork in past projects.
Describe problem-solving approaches.
Share experiences adapting to feedback.
Discuss how you manage deadlines.