IBM Intern: IBM hiring for Intern in the Bangalore location. All the candidates of Bachelor’s Degree can head below for details and apply link.
Data Analyst Intern – Join Our Data-Driven Team
We are seeking a motivated and detail-oriented Data Analyst Intern to join our dynamic team. This internship provides valuable hands-on experience in data collection, analysis, and visualization, supporting critical business decisions through data-driven insights.
IBM hiring overview
Company Name | IBM |
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Website | www.ibm.com |
Job Position | Research Intern |
Location | Gurgaon / Bangalore |
Job Type | Full-Time |
Experience Required | Freshers |
Qualification | Bachelor’s Degree |
Eligible Batch | 2026 / 2027 / 2028 |
Expected Salary | Minimum ₹30,000 per month |
What You’ll Gain
- Practical experience in data analysis and business intelligence
- One-on-one mentorship from seasoned analysts and data professionals
- Exposure to industry-standard tools and techniques used in data-driven decision-making
IBM hiring Key Responsibilities
- Collect, clean, and organize data from multiple internal and external sources
- Conduct exploratory data analysis (EDA) to uncover actionable insights
- Develop interactive dashboards and visual reports using tools like Excel, Power BI, or Tableau
- Assist in identifying data trends, patterns, and anomalies to support strategic initiatives
- Document analytical processes and present key findings to stakeholders and leadership
IBM hiring Required Qualifications
- Must be currently pursuing a Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
- Strong analytical thinking and problem-solving abilities
- Familiarity with SQL, Excel, and data visualization platforms
- Basic understanding of Python or R is a plus
- Excellent communication skills and the ability to work collaboratively in a team environment
Why Intern With Us?
This internship is a perfect opportunity for students eager to apply their academic knowledge in a real-world business setting. You’ll gain exposure to real datasets, work alongside experienced professionals, and contribute to meaningful projects that influence strategic decision-making.
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