Data Analyst Intern
@ UM IT Solutions

Hybrid
₹15,000
Hybrid
Intern
Posted 3 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @webboostsolutions.com
Recommended after applying

Job Details

About Data Analyst Intern

WebBoost Solutions by UM is offering a paid Data Analyst Intern position that provides hands-on experience for students and graduates. This internship is remote and lasts for 3 months with a possibility of a full-time role based on performance, accompanied by an internship certificate.

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 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
  • Opportunity to build your portfolio with impactful projects

How to Apply

Submit your application with the subject line "Data Analyst Intern Application."

Key skills/competency

  • Data Analysis
  • Excel
  • SQL
  • Python
  • Data Cleaning
  • Visualization
  • Reporting
  • Analytical Skills
  • Teamwork
  • Communication
Apply without a personalized resume

How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it to emphasize data skills.
  • Highlight project work: Include relevant academic projects.
  • Research WebBoost Solutions by UM: Understand their mission and culture.
  • Prepare for technical questions: Brush up on Excel, SQL, and Python.

📝 Interview Preparation Advice

Technical Preparation

Practice Excel functions and formulas.
Review SQL query fundamentals.
Learn basic Python data libraries.
Analyze sample datasets online.

Behavioral Questions

Describe a time you solved a data challenge.
Explain how you work in teams.
Discuss handling tight deadlines effectively.
Share an experience with project collaboration.

Frequently Asked Questions