Data Analyst Intern
HubbleHut
Chennai, Tamil Nadu, IndiaFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data visualizationStakeholder managementExcelStatisticsPythonSQL
- Nice to have
- Data analysis
- Work
- Hybrid in Chennai · internship
- Pay
- Not stated by the employer.
- Listed
- 8 Nov 2026 · still open
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About the Role
The Data Analyst Intern role at HubbleHut is a full-time hybrid position based in Chennai, with the flexibility to perform some responsibilities from home.
Key Responsibilities
- Collect, clean, and organize data from various internal systems and external sources.
- Perform exploratory data analysis.
- Generate reports and build dashboards to visualize trends in candidate pipelines, hiring performance, and workforce metrics.
- Prepare datasets for analysis.
- Document data processes.
- Assist in building simple analytical models.
- Present insights to team members in a clear and structured format.
- Collaborate with cross-functional stakeholders to improve data quality and support decision-making.
- Contribute to ongoing enhancements of HubbleHut’s AI-driven talent solutions.
Requirements & Tech Stack
- Spreadsheet skills: Ability to work with spreadsheets (e.g., Excel or Google Sheets), perform basic data cleaning, and handle structured datasets.
- Analytical and statistical skills: Understanding of basic statistics (descriptive metrics, correlations), exploratory data analysis, and data-driven problem solving.
- Technical tools: Familiarity with at least one data analysis language or tool (e.g., SQL, Python, or R).
- Data visualization tools: Experience using data visualization tools or libraries (e.g., Tableau, Power BI, or equivalent).
- Business and domain understanding: Interest in HR analytics, talent acquisition metrics, and workforce planning.
- Communication and collaboration: Clear written and verbal communication skills; ability to present findings to non-technical stakeholders; willingness to collaborate in a hybrid work environment.
Qualifications
- Currently pursuing or recently completed a degree in data science, statistics, engineering, computer science, economics, business analytics, or a related field.
- Prior academic or project experience in data analysis is preferred.
- Additional beneficial skills: familiarity with AI concepts, experience working with dashboards, attention to detail, strong organizational skills, and a proactive approach to learning.