Data Analyst Intern
@ UM IT PRIVATE LIMITED

Hybrid
₹15,000
Hybrid
Intern
Posted 5 hours ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX***** @umitprivate.com
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Job Details

About the Role

The Data Analyst Intern position at UM IT PRIVATE LIMITED, powered by WebBoost Solutions by UM, offers students and graduates a paid internship for 3 months. This is a full-time role based on performance, and successful candidates will earn an Internship Certificate.

Responsibilities

  • Collect, clean, and analyze datasets
  • Develop reports and data visualizations
  • Identify trends and data patterns
  • Collaborate on presentations and insights

Requirements

  • Enrolled in or a graduate of a relevant program
  • Strong analytical skills and attention to detail
  • Familiarity with 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
  • Opportunity to build a portfolio with impactful projects

How to Apply

Submit your application with the subject line "Data Analyst Intern Application." WebBoost Solutions by UM embraces equal opportunity and welcomes applicants from all backgrounds.

Key skills/competency

  • Data Analysis
  • Data Cleaning
  • Reporting
  • Visualization
  • Excel
  • SQL
  • Python
  • Attention to Detail
  • Teamwork
  • Communication
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How to Get Hired at UM IT PRIVATE LIMITED

🎯 Tips for Getting Hired

  • Research UM IT PRIVATE LIMITED: Understand company culture and recent projects.
  • Customize your resume: Highlight data analysis experiences and skills.
  • Showcase relevant projects: Include specific tools like Excel, SQL, Python.
  • Prepare for interviews: Review analytical and teamwork scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query basics.
Practice Excel data functions.
Learn Python data libraries fundamentals.
Understand data visualization techniques.

Behavioral Questions

Describe a time you solved data challenges.
Explain teamwork in past projects.
Share handling tight deadlines experiences.
Discuss attention to detail examples.

Frequently Asked Questions