Data Analyst Intern
@ UM IT Solutions

Hybrid
₹15,000
Hybrid
Intern
Posted 21 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

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

Job Details

About Data Analyst Intern

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

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

How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Customize Resume: Tailor your resume for data analysis roles.
  • Highlight Skills: Emphasize Excel, SQL, Python expertise.
  • Research WebBoost Solutions by UM: Understand their projects and culture.
  • Prepare for Interview: Practice technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review Excel formulas and pivot tables.
Practice SQL queries with sample datasets.
Learn basics of Python for data tasks.
Brush up on data visualization techniques.

Behavioral Questions

Describe a team project experience.
Explain handling challenging data issues.
Demonstrate communication in team environments.
Discuss time management during tight deadlines.

Frequently Asked Questions