Data Analytics Intern

About Kaushalsaathi

Kaushalsaathi, powered by Sunsys Techsol, is an innovation-driven company operating across IT Services, Renewable Energy, and Digital Solutions. Our mission is to leverage data-driven insights to build impactful digital platforms that support clean energy, education, and inclusion. We promote a remote-first culture focused on analytical thinking and hands-on learning.

Role Overview

We are looking for a detail-oriented and analytical Data Analytics Intern who is eager to work with real datasets and extract meaningful insights. You will collaborate with cross-functional teams to support data-driven decision-making.

Key Responsibilities

• Collect, clean, and organize structured and unstructured data
• Perform exploratory data analysis and identify trends
• Create dashboards and reports for business insights
• Work with Excel, SQL, and visualization tools
• Assist in data validation and quality checks
• Document analysis findings and insights
• Support ongoing analytics and reporting tasks

Requirements & Tech Stack

• Basic knowledge of Excel and data analysis concepts
• Understanding of statistics and data interpretation
• Familiarity with SQL or willingness to learn
• Basic understanding of data visualization

Preferred/Bonus Skills

• Experience with Power BI or Tableau
• Basic knowledge of Python (Pandas, NumPy)
• Understanding of business analytics
• Familiarity with databases and data models
• Knowledge of Google Analytics
• Git/GitHub basics

Qualifications

• Pursuing or completed Bachelor’s in Computer Science, IT, Data Science, Business Analytics, or related fields
• Final-year students and freshers are welcome

Internship Details

• Company: Kaushalsaathi
• Location: Remote (PAN India)
• Duration: 3 Months
• Timing: Flexible (Part-time, 5 to 6 hours/day)
• Stipend: Unpaid
• Perks & Benefits:
• Certificate of Completion
• Letter of Recommendation (LOR)
• LinkedIn Recommendation from Official Company Page
• Real-world Data Analysis Projects
• Flexible Working Hours (Remote, Output-based)