Website Webs X UM
Bridging the Gap Between Vision and Velocity
Are you looking to kickstart your career in data analytics? Web X UM is offering an exciting opportunity for aspiring professionals to join as a Data Analyst Intern. This remote internship is perfect for students and fresh graduates who want hands-on experience with real-world data and business insights.
🏢 Company Overview
Web X UM provides students and graduates with practical exposure to data analysis. The organization focuses on developing real-world skills, gaining industry experience, and working on projects that strengthen professional portfolios.
💼 Internship Details
Role: Data Analyst Intern
Location: Remote (Work from Home)
Duration: 3 Months
Type: Internship (Full-time opportunity based on performance)
Stipend: ₹7,500 – ₹15,000 (Performance-Based)
📌 Key Responsibilities
• Collect, clean, and analyze datasets to generate actionable insights
• Create reports, dashboards, and data visualizations
• Identify trends, patterns, and key performance metrics
• Support business decision-making with data insights
• Collaborate on presentations and recommendations
• Assist in interpreting business data effectively
🧠 Required Skills
• Strong analytical and problem-solving skills
• Basic knowledge of Excel, SQL, or Python (preferred)
• Attention to detail and accuracy
• Good communication and teamwork skills
🎓 Eligibility Criteria
• Students or graduates in Data Science, Computer Science, Statistics, or related fields
• Freshers with a strong interest in data analytics are encouraged to apply
🎁 Perks & Benefits
💰 Performance-based stipend
📜 Internship Certificate
🌟 Letter of Recommendation (based on performance)
🎁 Swags and goodies
📊 Real-world project experience
🚀 Potential full-time opportunity
🚀 Why You Should Apply
This internship is ideal for anyone looking to start a career in data analytics. Gain practical experience, build your portfolio, and work on real-world challenges that will boost your professional growth.
👉 Apply now and begin your journey in data analytics!
To apply for this job please visit remotejobhiring.com.