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.