Data Analyst Intern
@ UM IT Solutions

Hybrid
₹90,000
Hybrid
Intern
Posted 15 hours ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX******* @webboostsolutions.com
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Job Details

About the Data Analyst Intern Role

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) (Paid).
  • 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
  • Presentation
  • Teamwork
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How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Research WebBoost Solutions by UM's culture: Explore company values and recent projects.
  • Customize your resume: Highlight relevant analytical and technical skills.
  • Showcase data projects: Emphasize hands-on experience in your portfolio.
  • Prepare for technical questions: Brush up on Excel, SQL, and Python.

📝 Interview Preparation Advice

Technical Preparation

Practice Excel data functions.
Review SQL query examples.
Learn Python for data analysis.
Study data cleaning techniques.

Behavioral Questions

Prepare examples of teamwork.
Practice clear communication responses.
Recall academic project challenges.
Explain problem-solving strategies.

Frequently Asked Questions