Data Analytics Intern

SunsysTechsol Pvt. Ltd.

IndiaFresher1h agovia LinkedIn

About Sunsys Techsol Pvt. Ltd.

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 Opportunity

Duration: 3 Months

Timing: Flexible (Part-time, ~3 hours/day)

Stipend: Unpaid

Location: Remote (PAN India)

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)

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