Data Analyst Intern
@ UM IT Solutions

Hybrid
₹15,000
Hybrid
Intern
Posted 6 hours ago

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Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXXX****** @webboostsolutions.com
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Job Details

Data Analyst Intern at Data Analyst Intern

Company: WebBoost Solutions by UM

Location: Remote

Duration: 3 months

Application Deadline: 13th October 2025

Opportunity: Full-time role based on performance + Internship Certificate

About WebBoost Solutions by UM

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 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
  • Excel
  • SQL
  • Python
  • Teamwork
  • Communication
  • Attention to Detail
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How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Research WebBoost Solutions by UM: Study the company culture and values.
  • Customize your resume: Highlight data analysis projects and tools.
  • Prepare for technical questions: Brush up on Excel, SQL, and Python.
  • Showcase teamwork skills: Emphasize collaborative project experiences.

📝 Interview Preparation Advice

Technical Preparation

Review Excel formulas and functions.
Practice SQL query writing exercises.
Work on Python data analysis libraries.
Study data cleaning and visualization techniques.

Behavioral Questions

Describe a teamwork challenge you overcame.
Explain your method for managing deadlines.
Discuss your approach to problem solving.
Share a time you improved project outcomes.

Frequently Asked Questions