Data Analyst Intern
SKOOLLAGE
Job Overview
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Job Description
About Data Analyst Intern
Skoollage is a next-generation learning and career-readiness platform dedicated to equipping students and professionals with in-demand, industry-aligned skills. Through real-world projects, expert mentorship, and practical exposure, Skoollage enables learners to transform raw data into meaningful insights that drive informed business decisions.
Role Overview
As a Data Analyst Intern at Skoollage, you will work with real-world datasets to perform in-depth analysis and develop impactful visualizations that support data-driven decision-making. This role is ideal for those looking to build a strong foundation in data analytics and business intelligence.
Key Responsibilities
- Perform data cleaning, transformation, and validation.
- Conduct Exploratory Data Analysis using Python or R.
- Build interactive dashboards and visualizations using Power BI, Tableau, or MS Excel.
- Interpret data findings and prepare analytical reports.
- Analyze large datasets to identify trends and opportunities.
- Support data-driven decision-making through documentation and presentations.
Eligibility & Requirements
- Strong working knowledge of Python (Pandas, NumPy, Matplotlib) or MS Excel.
- Basic understanding of SQL and data visualization tools.
- Strong analytical thinking and problem-solving skills.
- Attention to detail and data accuracy.
- Prior coursework, certifications, or projects in data analytics are an advantage.
What You Will Gain
- Performance-based stipend of ₹7,500.
- Certificate of Internship from Skoollage.
- Hands-on exposure to real-world analytics projects.
- Mentorship from experienced data analytics professionals.
- Career guidance, networking, and placement support.
- Potential full-time employment opportunity based on performance.
Key skills/competency
- Data Cleaning
- Data Transformation
- Exploratory Analysis
- Python
- R
- Data Visualization
- SQL
- MS Excel
- Power BI
- Tableau
How to Get Hired at SKOOLLAGE
- Customize your resume: Tailor it to data analysis and internship roles.
- Highlight relevant projects: Include data cleaning and visualization examples.
- Prepare for technical tests: Practice Python and Excel exercises.
- Research Skoollage: Understand their mission and learning platform.
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