Data Analyst Intern (Remote)

CareerNaksha

Remote

Internship

₹8,901.43 - ₹12,596.28 per month

Posted July 7, 2025

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Job description

Data Analyst Intern

Company Overview

'CareerNaksha' is an ed-tech start-up based company at Vadodara. Here we work as a source of support when candidates experience difficulty finding jobs and choosing the right career path and also guide the clients through counseling for the completion of aptitude ,personality, and adjacent tests. Here we are looking for the aspirantor Social Media Intern who help us build and grow our online presence

Job Summary

We are looking for a motivated and skilled Data Analyst Intern who can assist with data scraping, analysis, visualization, and research. You will have the opportunity to work on real-world data, contribute to building data tools, and create insightful dashboards using Power BI. This internship is ideal for someone who is eager to learn and gain hands-on experience in data analysis and business intelligence.

Key Responsibilities

Data Collection & Scraping: Build Python scripts to scrape data from websites and social media platforms.
Gather data through APIs from social media sites (e.g., Twitter, Instagram) for analysis.
Data Cleaning & Analysis: Clean and process raw data to ensure accuracy and usability.
Analyze datasets to uncover trends, patterns, and actionable insights.
Work with Python and tools like Pandas, NumPy, and Matplotlib for data analysis and visualization.
Power BI Dashboard Creation: Create dynamic dashboards in Power BI to visualize data.
Design visual reports to communicate key insights and recommendations to stakeholders.
Tool Development: Assist in developing automated scraping tools to collect data on an ongoing basis.
Optimize and maintain data scraping tools for accuracy and efficiency.
Research: Conduct research on scraping techniques, APIs, and data collection methods.
Stay updated on the latest trends and tools for data analysis and business intelligence.

Requirements / Qualifications

Education: Pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
Technical Skills: Proficiency in Python for data scraping, data analysis, and automation.
Basic understanding of web scraping libraries (e.g., BeautifulSoup, Scrapy).
Familiarity with Power BI or any other data visualization tools.
Knowledge of APIs for social media platforms (Twitter, Instagram, etc.) is a plus.
Analytical Skills: Strong problem-solving and analytical mindset.
Ability to work with large datasets and identify trends, insights, and opportunities.
Research Skills: Ability to research and implement various scraping and data collection techniques.
Communication Skills: Ability to present data insights clearly and effectively.