Data Analytics Intern

TechBoxing

Aurangabad, Maharashtra, IndiaFresher8m agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
Data analysisData visualizationSQLExcelPower BITableau
Nice to have
Statistics
Work
Hybrid in Aurangabad · internship
Pay
Not stated by the employer.
Skill demand
Data analysis81%Excel71%Data visualization61%SQL58%of 102 similar fresher jobs posted in India this week
Listed
30 Oct 2026 · still open

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About the Role

The Data Analytics Intern role at TechBoxing is a full-time hybrid position based in Chhatrapati Sambhaji Nagar, with flexibility for some work-from-home arrangements.

Key Responsibilities

  • Support the analytics team by collecting, cleaning, and organizing data from various sources.
  • Assist in building dashboards and reports for internal and client projects.
  • Perform exploratory data analysis.
  • Prepare summary insights.
  • Contribute to data visualizations that support business decision-making.
  • Help with basic data modeling.
  • Assist with documentation of analytical processes.
  • Perform quality checks on reports and datasets.
  • Collaborate with consultants and developers.
  • Learn best practices in analytics.
  • Participate in training and project review sessions.

Requirements & Tech Stack

  • Basic knowledge of SQL.
  • Basic knowledge of Excel.
  • Basic knowledge of at least one data visualization tool (e.g., Tableau or Power BI).

Qualifications

  • Strong data analytics and data analysis skills for exploring datasets and generating insights.
  • Solid analytical skills for problem-solving and interpreting quantitative information.
  • Data management skills for organizing, cleaning, and maintaining data from multiple sources.
  • Foundational data modeling skills for structuring data to support reporting and dashboards.
  • Ability to communicate findings clearly.
  • Ability to work collaboratively in a team.
  • Ability to manage tasks in a hybrid work environment.
  • Pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.
  • Interest in learning business intelligence, manufacturing analytics, and enterprise reporting solutions is an advantage.

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