🏢 Company Overview:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth. With a strong presence in over 30 countries, LTIMindtree combines deep domain expertise with next-generation technology to deliver real business value.
💼 Job Details:
- Employment type: Full Time
- Experience: Internship
- Salary: ₹4,000 – ₹10,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
LTIMindtree is seeking passionate and enthusiastic interns to join our Power BI development team. This internship provides an opportunity to gain hands-on experience in data visualization, analytics, and business intelligence. Interns will work closely with experienced developers and analysts to design and develop Power BI dashboards, reports, and data models.
🔑 Key Responsibilities:
- Assist in creating and maintaining Power BI dashboards and reports
- Collaborate with teams to gather data requirements and understand business needs
- Clean, transform, and analyze data from multiple sources
- Support data modeling and visualization best practices
- Document reports, datasets, and project progress
- Participate in team meetings and share insights
🛠️ Required Skills & Qualifications:
- Pursuing or recently completed a degree in Computer Science, Information Technology, Data Analytics, or a related field
- Basic knowledge of Power BI, SQL, and data visualization concepts
- Understanding of data modeling and DAX (Data Analysis Expressions) is a plus
- Strong analytical and problem-solving skills
- Good communication and teamwork abilities
- Eagerness to learn and grow in a professional environment
🌟 Benefits:
- Gain real-world experience working on live projects
- Mentorship from experienced professionals in data analytics and BI
- Certificate of completion after successful internship
- Opportunity to explore future roles within LTIMindtree
