Want to get hired at UM IT PRIVATE LIMITED?
Business Analyst Intern
UM IT PRIVATE LIMITED
HybridHybrid
Original Job Summary
About Business Analyst Intern
WebBoost Solutions by UM offers hands-on experience in business analysis for students and recent graduates. This paid internship lasts 3 months and is remote, with the opportunity to work full-time based on performance and receive a Certificate of Internship.
Responsibilities
- Collect, clean, and analyze data sets.
- Identify trends and patterns to generate insights.
- Develop dashboards, reports, and presentations for decision-making.
- Collaborate with teams to provide data-driven insights for business strategies.
Requirements
- Enrolled in or recent graduate of Business, Finance, Economics, Data Science, or related field.
- Strong analytical skills and attention to detail.
- Familiarity with Excel, SQL, or Python (preferred).
- Excellent communication and teamwork abilities.
Benefits
- Performance-based stipend: ₹7,500 - ₹15,000.
- Real-world business analysis experience.
- Certificate of Internship & Letter of Recommendation.
- Opportunity to build your portfolio with impactful projects.
How to Apply
Submit your application by 08th October 2025 with the subject: "Business Analyst Intern Application".
Equal Opportunity
WebBoost Solutions by UM is an equal opportunity employer, welcoming candidates from all backgrounds.
Key skills/competency
- Data Analysis
- Data Cleaning
- Trend Identification
- Dashboard Development
- Reporting
- Business Strategy
- Excel
- SQL
- Python
- Communication
How to Get Hired at UM IT PRIVATE LIMITED
🎯 Tips for Getting Hired
- Research UM IT PRIVATE LIMITED's culture: Study mission, values, and employee reviews thoroughly.
- Tailor your resume: Highlight relevant analytical and technical skills.
- Showcase project work: Include data analysis projects and dashboards.
- Prepare for interviews: Review business analysis basics and technical tools.
📝 Interview Preparation Advice
Technical Preparation
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Practice Excel functions and pivot tables.
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Review SQL query commands.
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Learn Python data libraries basics.
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Analyze sample data sets.
Behavioral Questions
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Describe a challenging project briefly.
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Explain teamwork experiences succinctly.
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Detail how you prioritize tasks.
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Illustrate learning from mistakes.