Data Analyst Intern
@ UM IT Solutions

Hybrid
₹135,000
Hybrid
Intern
Posted 6 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @webboostsolutions.com
Recommended after applying

Job Details

Overview

The Data Analyst Intern role at WebBoost Solutions by UM provides hands-on experience in data analysis. This is a paid, remote internship with a duration of 3 months, with full-time opportunities based on performance along with 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

  • Currently 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 and 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." WebBoost Solutions by UM welcomes applicants from all backgrounds.

Key skills/competency

  • data analysis
  • data cleaning
  • reporting
  • visualization
  • trend identification
  • Excel
  • SQL
  • Python
  • teamwork
  • communication
Apply without a personalized resume

How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to data analysis role.
  • Highlight technical skills: Emphasize Excel, SQL, Python.
  • Prepare portfolio: Include data projects and visualizations.
  • Practice interviews: Review common data analyst questions.

📝 Interview Preparation Advice

Technical Preparation

Review Excel functions and formulas.
Practice SQL query writing and optimization.
Experiment with Python data libraries.
Analyze sample datasets and generate reports.

Behavioral Questions

Describe a challenging data project handled.
Explain teamwork in a collaborative setting.
Discuss time management under deadlines.
Share examples of problem-solving skills.

Frequently Asked Questions