Data Analyst Intern
ThinkNovaa
IndiaFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data analysisExcelPower BITableauData visualization
- Nice to have
- PythonSQLPandasNumPy
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis85%Excel76%Power BI39%Tableau34%of 103 similar fresher jobs posted in India this week
- Listed
- 27 Oct 2026 · still open
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About the Internship
Thinknova is looking for enthusiastic individuals interested in Data Analytics. This internship offers an opportunity to gain practical experience in data analysis, data cleaning, visualization, business reporting, and data-driven decision-making through hands-on projects.
Key Responsibilities
- Assist in collecting, cleaning, organizing, and analyzing datasets.
- Identify trends, patterns, and insights from structured and unstructured data.
- Work with Microsoft Excel, SQL, Python, and data analytics tools.
- Create interactive dashboards, charts, and reports using Power BI or Tableau.
- Perform exploratory data analysis (EDA) to uncover meaningful business insights.
- Assist in monitoring key performance indicators (KPIs) and preparing analytical reports.
- Ensure data accuracy, consistency, and proper documentation.
- Collaborate with team members on assigned data analytics projects.
Requirements & Tech Stack
- Basic understanding of data analysis concepts and techniques.
- Familiarity with Microsoft Excel or Google Sheets.
- Knowledge of SQL, Python, Pandas, or NumPy is an advantage.
- Basic understanding of Power BI, Tableau, or other visualization tools is beneficial.
- Interest in data analytics, business intelligence, and data-driven problem-solving.
- Strong analytical thinking and attention to detail.
- Good communication skills and willingness to learn.
- Ability to work independently in a remote environment.
Duration: 3 Months
Work Mode: Remote
Stipend: Up to ₹10,000 (Performance-Based)
Who Can Apply?
Students, freshers, graduates, working professionals, and career switchers interested in Data Analytics are welcome to apply.