Data Analyst Intern
@ UM IT PRIVATE LIMITED

Hybrid
₹10,000
Hybrid
Intern
Posted 12 hours ago

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Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXX XXXXXXX******* @um-it.com
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Job Details

About Data Analyst Intern

WebBoost Solutions by UM offers students and graduates hands-on experience in data analysis, providing real-world skills and enhancing 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, datasets, reporting, visualization, Excel, SQL, Python, communication, teamwork, internship

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How to Get Hired at UM IT PRIVATE LIMITED

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data analysis projects and tools used.
  • Research UM IT PRIVATE LIMITED: Understand the company's mission and values.
  • Showcase relevant skills: Emphasize Excel, SQL, and Python proficiency.
  • Prepare for interviews: Practice technical and behavioral data questions.

📝 Interview Preparation Advice

Technical Preparation

Review Excel functions and formulas.
Practice SQL query writing and data manipulation.
Brush up on Python data libraries.
Analyze sample datasets for trends.

Behavioral Questions

Describe a time you solved data issues.
Explain teamwork in challenging projects.
Discuss handling tight deadlines effectively.
Share learning experiences from failures.

Frequently Asked Questions