Data Analytics - Internship (Part Time)

About the internship:Gain practical exposure to the complete data analytics process, including data preparation, analysis, visualization, and reporting.

Selected intern's day-to-day responsibilities include:

1. Process, clean, and organize datasets for analysis.

2. Perform exploratory data analysis to identify useful insights.

3. Create reports, dashboards, and data visualizations.

4. Identify trends, patterns, and key insights from data.

5. Support data-driven project activities and analysis.

6. Document analytical findings, results, and observations.Who can apply:Only those candidates can apply who:are available for the part time job/internshipcan start the part time job/internship between 25th Sep'26 and 30th Oct'26are available for duration of 3 monthshave relevant skills and interestsStipend:INR₹ 3,001 - 7,002 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:Python, SQL, MS-Excel, Statistics and Data VisualizationAbout Company:Gradtwin is a student-focused organization committed to helping students and fresh graduates build practical skills, gain real-world experience, and explore career opportunities.

We offer internship opportunities across diverse domains, including technology, data, healthcare, marketing, human resources, and business, enabling students to work on real-world projects and develop industry-relevant skills.

At Gradtwin, interns get the opportunity to learn through hands-on experience, collaborate with teams, take on meaningful responsibilities, and strengthen their resumes and professional portfolios. We welcome students, fresh graduates, and aspiring professionals who are eager to learn, contribute, and grow.

Join Gradtwin to learn, gain experience, build your skills, and take your first step toward a successful career.Additional information:

Stipend Structure:

Fixed pay: ₹ 3,000 - 7,000 /month

Incentive pay: ₹ 1 - 2 /month

Responsibilities

Gain practical exposure to the complete data analytics process, including data preparation, analysis, visualization, and reporting.

Selected intern's day-to-day responsibilities include:

1. Process, clean, and organize datasets for analysis.

2. Perform exploratory data analysis to identify useful insights.

3. Create reports, dashboards, and data visualizations.

4. Identify trends, patterns, and key insights from data.

5. Support data-driven project activities and analysis.

6. Document analytical findings, results, and observations.