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Inlighnx Global is offering a Data Analyst Intern position for college students. This 3‑month internship is remote and full‑time, with a performance-based stipend up to ₹7,500. The program provides mentorship, real-world projects, and a certificate upon completion.
You will assist in collecting, cleaning, and analyzing datasets using Excel, SQL, and Python, and you will create dashboards to support business decisions while gaining practical exposure to data analytics tools and reporting.
Stipend: Performance-Based, up to ₹7,500/-
FOR COLLEGE STUDENTS ONLY
Inlighnx Global is offering a structured Career Launch Internship Program designed to help students gain practical project experience, mentorship, and industry exposure in data analytics.
The program includes guided learning resources, real-world projects, project evaluations, internship certification, and performance-based learning opportunities.
Company: Inlighnx Global
Location: Remote
Duration: 3 Months
Employment Type: Full-Time Internship
Stipend: Performance-Based, up to ₹7,500/-
FOR COLLEGE STUDENTS ONLY
Inlighnx Global is offering a structured Career Launch Internship Program designed to help students gain practical project experience, mentorship, and industry exposure in data analytics.
The program includes guided learning resources, real-world projects, project evaluations, internship certification, and performance-based learning opportunities.
Inlighnx Global provides students and graduates with practical exposure to data analytics, business intelligence, and data-driven decision-making. The organization focuses on developing real-world analytical skills through hands-on projects, mentorship, and industry-oriented learning experiences.
As a Data Analyst Intern, you will assist in collecting, cleaning, processing, and analyzing datasets to identify meaningful insights and support business decision-making. You will work with different data sources to identify trends, patterns, and opportunities.
The role will provide practical exposure to data analysis, statistical concepts, data visualization, reporting, dashboard creation, and analytical tools such as Excel, SQL, and Python.