Data Analyst Intern

Data Analyst Intern

Company:SKOOLAGE

Location: Remote

Duration: 3 Months

Stipend: ?7,500 (Performance-Based)

Employment Opportunity: Potential full-time role based on performance + Certificate of Internship

About SKOOLAGE

SKOOLAGE 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 hands-on learning, SKOOLAGE empowers learners to transform data into meaningful insights that drive impactful business decisions.

Role Overview

As a Data Analyst Intern at SKOOLAGE, you will work with real-world datasets to perform analytical tasks and develop insightful dashboards and visualizations. This role is ideal for individuals seeking strong foundational and practical experience in data analytics, business intelligence, and data-driven decision-making.

Key Responsibilities

• Perform data cleaning, transformation, and validation to ensure data accuracy and reliability
• Conduct Exploratory Data Analysis (EDA) using Python or R to identify trends and patterns
• Build interactive dashboards and visualizations using Power BI, Tableau, or MS Excel
• Interpret data findings and prepare reports with actionable business insights
• Analyze large datasets to support strategic and operational decision-making
• Assist in documenting analytical processes and presenting insights to stakeholders

Eligibility & Requirements

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Get Hired
• Working knowledge of Python (Pandas, NumPy, Matplotlib) or strong proficiency in MS Excel
• Basic understanding of SQL and data visualization concepts
• Strong analytical thinking and problem-solving abilities
• Attention to detail and data accuracy
• Prior coursework, certifications, or personal projects in data analysis will be an added advantage

What You Will Gain

• Performance-based stipend of ?7,500
• Certificate of Internship from SKOOLAGE
• Hands-on exposure to real-world analytics and business intelligence projects
• Mentorship from experienced data analytics professionals
• Career guidance, networking opportunities, and placement support
• Potential full-time employment opportunity based on performance