Data Analyst Intern
@ IG Tech

Hybrid
₹45,000
Hybrid
Intern
Posted 22 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXX***** @inlighntech.com
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Job Details

About Data Analyst Intern

INLIGHN TECH provides hands-on, project-driven virtual internships that bridge the gap between academics and industry. The Data Analyst Intern internship is designed to help students and graduates develop core data analysis, reporting, and visualization skills to support data-driven decision making.

Internship Overview

As a Data Analyst Intern, you will gain real-world experience in gathering, cleaning, transforming, and analyzing data. You will collaborate with business and product teams to create dashboards and reports, interpret trends, and deliver actionable insights.

Qualifications

  • Pursuing or recently completed a degree in Computer Science, Statistics, Economics, Business Analytics, Mathematics, or related fields.
  • Proficiency in Excel and SQL for data manipulation and reporting.
  • Familiarity with data visualization tools such as Power BI, Tableau, or Google Data Studio.
  • Basic understanding of statistics and data interpretation.
  • Exposure to Python (Pandas, NumPy, Matplotlib) for data analysis is a plus.
  • Strong analytical mindset, attention to detail, and problem-solving skills.

What You’ll Gain

  • Practical exposure to real-world datasets and business analytics use cases.
  • Experience building dashboards and reports with industry-standard tools.
  • Internship Certificate and Letter of Recommendation.
  • A portfolio of analysis projects to showcase your skills.
  • Foundation for careers in Data Analytics, Business Intelligence, and related fields.

Key Skills/Competency

  • Data Analysis
  • Excel
  • SQL
  • Data Cleaning
  • Data Visualization
  • Power BI
  • Tableau
  • Python
  • Statistics
  • Problem-solving
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How to Get Hired at IG Tech

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data skills and relevant coursework.
  • Research IG Tech: Understand their virtual internship model and projects.
  • Showcase project work: Provide examples of data analysis tasks.
  • Prepare for technical interviews: Brush up on SQL and Python basics.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries on sample datasets.
Improve Excel skills with data functions.
Review Python libraries like Pandas and NumPy.
Experiment with Power BI or Tableau dashboards.

Behavioral Questions

Describe teamwork on data projects.
Explain problem-solving under pressure.
Discuss time management of multiple tasks.
Share examples of attention to detail.

Frequently Asked Questions