Data Analytics Intern

kaushalsaathi

IndiaFresher1h agovia LinkedIn

Kaushalsaathi

Role Overview

  • Detail-oriented and analytical Data Analytics Intern eager to work with real datasets and extract meaningful insights.
  • 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.

About Sunsys Techsol Pvt. Ltd.

  • Innovation-driven company operating across IT Services, Renewable Energy, and Digital Solutions.
  • Mission to leverage data-driven insights to build impactful digital platforms that support clean energy, education, and inclusion.
  • Promotes a remote-first culture focused on analytical thinking and hands-on learning.

Internship Details

  • Company: Kaushalsaathi Powered by Sunsys Techsol Pvt. Ltd.
  • Location: Remote (PAN India)
  • Duration: 6 Months
  • Timing: Flexible (Part-time, ~3 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)

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