I-ON Infotech

Data Analyst Intern (Paid) – I-ON Infotech 📍 Location: Remote 🕒 Employment Type: Internship (Paid) 🏢 Industry: IT Services & Consulting About I-ON Infotech I-ON Infotech is an IT services and consulting company that delivers technology-driven solutions across data, analytics, and digital systems. We work on real-world business problems and provide interns with hands-on exposure to practical, industry-relevant projects in a professional consulting environment. Role Overview We are looking for a Data Analyst Intern to support data analysis and reporting activities for internal and client-based projects. This role is suitable for individuals interested in working with data, deriving insights, and contributing to decision-making in an IT consulting environment. Key Responsibilities Collect, clean, and validate datasets Analyze data to identify trends and patterns Create reports and dashboards using Excel, Power BI, or similar tools Assist teams in understanding data requirements and insights Maintain data accuracy and documentation Support routine reporting and performance tracking Collaborate with team members on ongoing analytical tasks Requirements Basic understanding of data analysis concepts Familiarity with at least one tool: Excel, SQL, Power BI, or Python Strong analytical and logical thinking skills Good communication and documentation abilities Willingness to learn and work collaboratively Students, fresh graduates, and entry-level candidates may apply Skills You Will Develop Practical experience in data analysis and reporting Exposure to real business and client datasets Data visualization and dashboard creation skills Analytical problem-solving abilities Experience working in an IT services and consulting environment What We Offer Paid remote internship Stipend: ₹7,000 – ₹15,000 per month (performance-based) Internship completion certificate Performance-based incentives Mentorship from experienced professionals Hands-on experience with live projects Opportunity for full-time employment based on performance How to Apply Apply directly through LinkedIn by submitting your profile and relevant details.