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Data Analyst Intern

Whilter.AI

RemoteFresherFrom 1.2 LPA
InternshipRemote

Posted todayBe an early applicant

Data Analyst Intern

From ₹1.2 LPA

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Experience

Fresher

Salary

From ₹1.2 LPA

Job type

Internship

Openings

1

Education

Bachelor's or Master's in Statistics, Mathematics, Computer Science, Economics, Engineering or related field

Apply by

24 Oct 2026

Internship focused on supporting data analytics for Whilter, a marketing AI platform. Responsibilities include data cleaning, reporting, dashboard creation, and insight generation to inform business and product decisions.

  • Collect, clean, and organise data from spreadsheets, databases, and business tools
  • Check data for accuracy, missing values, duplicates, and inconsistencies
  • Analyse datasets to identify trends, patterns, and areas for improvement
  • Create and maintain reports and dashboards to track key performance metrics
  • Use Excel, Google Sheets, and SQL to support day‑to‑day analysis
  • Present findings through clear charts, summaries, and recommendations
  • Collaborate with business, marketing, and engineering teams to understand data requirements
  • Document data sources, calculations, and reporting processes
  • Pursuing or recently completed a degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field
  • Basic understanding of data analysis and statistical concepts
  • Familiarity with Excel or Google Sheets, including formulas, pivot tables, and charts
  • Basic knowledge of SQL for querying and filtering data
  • Familiarity with Python, Power BI, Tableau or similar tools is a plus
  • Strong analytical thinking, attention to detail, and problem‑solving skills
  • Ability to explain findings clearly and manage tasks independently in a remote environment

Skills

Perks & benefits

  • ✓ Hands‑on experience in data cleaning, analysis, visualisation and reporting
  • ✓ Mentorship from experienced team members
  • ✓ Exposure to AI, marketing technology and business analytics
  • ✓ Remote work environment
  • ✓ Opportunity to work with real business datasets and contribute to informed decisions
  • ✓ Monthly stipend of ₹10,000
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