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Data Analytics Internship

Opal CodeWork from home
InternshipRemotePart-time

Pay₹1,000–15,000/month

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Opens this listing on Unstop (unstop.com). Aspirova never handles your application.

Deadline: 22/11/2026
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About the role

Job Description:

We are looking for enthusiastic Data Analytics Interns who are interested in exploring data, identifying trends, and generating meaningful insights. Interns will gain practical exposure to data analysis, visualization, dashboard development, and business intelligence through project-based assignments.

Roles And Responsibilities:

  • Collect, clean, organize, and validate datasets.
  • Perform Exploratory Data Analysis (EDA) to identify trends and patterns.
  • Create interactive dashboards using Power BI or Tableau.
  • Write SQL queries to extract and analyze structured data.
  • Use Python libraries such as Pandas and NumPy for data processing.
  • Develop reports and monitor Key Performance Indicators (KPIs).
  • Present analytical findings through visualizations and reports.
  • Work on practical projects and incorporate feedback.

Sample Projects:

  • E-Commerce Sales Performance Dashboard
  • Customer Churn Analysis
  • HR Analytics Dashboard
  • Supermart Grocery Sales Analysis
  • Marketing Campaign Performance Analysis
  • Business KPI Reporting System

What You Will Gain:

  • Hands-on experience with practical analytics projects.
  • Exposure to industry-oriented datasets and business scenarios.
  • Opportunity to strengthen technical and analytical skills.
  • Internship completion certificate for eligible candidates.
  • Letter of Recommendation (LOR) for eligible high-performing interns.
  • Career and resume-building guidance.

Requirements

Preferred Skills:

  • Microsoft Excel and Google Sheets
  • SQL and database fundamentals
  • Power BI or Tableau
  • Python, Pandas, and NumPy
  • Data visualization and statistical analysis
  • Analytical thinking and attention to detail
  • Good communication skills

Eligibility

Who Can Apply?:

  • Students pursuing Computer Science, Statistics, Mathematics, Business Analytics, Data Science, or related fields.
  • Fresh graduates looking to build a career in analytics.
  • Candidates interested in data interpretation and business intelligence.
  • Individuals with strong analytical thinking and problem-solving abilities.

Skills for this role

Skills we detected for this role.

  • Python
  • SQL
  • Pandas
  • NumPy
  • Data Analysis
  • Data Visualization
  • Power BI
  • Tableau
  • Excel
  • Statistics