Data Analyst Intern
@ UM IT PRIVATE LIMITED

Hybrid
₹135,000
Hybrid
Intern
Posted 7 hours ago

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

About the Data Analyst Intern Role

WebBoost Solutions by UM is offering a paid Data Analyst Intern position with a duration of 3 months. This remote internship provides hands-on experience in data analysis, report development, data visualization, and presentation of insights.

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 graduated from a relevant program.
  • Strong analytical skills and attention to detail.
  • Familiarity with Excel, SQL, or Python (preferred).
  • Excellent communication and teamwork abilities.

Stipend & Benefits

  • Performance-based stipend ranging between ₹7,500 - ₹15,000.
  • Real-world data analysis experience.
  • Certificate of Internship and Letter of Recommendation.
  • Build your portfolio with impactful projects.

How to Apply

Submit your application with the subject line "Data Analyst Intern Application." WebBoost Solutions by UM is an equal opportunity employer.

Key skills/competency

  • Data Analysis
  • Data Cleaning
  • Report Development
  • Data Visualization
  • Trend Identification
  • Excel
  • SQL
  • Python
  • Communication
  • Teamwork
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How to Get Hired at UM IT PRIVATE LIMITED

🎯 Tips for Getting Hired

  • Research WebBoost Solutions by UM: Study their mission and culture online.
  • Customize your resume: Align skills with data analysis requirements.
  • Highlight relevant tools: Emphasize Excel, SQL, and Python experience.
  • Prepare for data questions: Review analytical problem-solving examples.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query examples.
Practice Excel data functions.
Work on Python data scripts.
Study data visualization techniques.

Behavioral Questions

Describe a data challenge you solved.
Explain your teamwork experience.
Detail a time you met deadlines.
Discuss handling project feedback.

Frequently Asked Questions