Data Analyst Intern

Key Responsibilities

• Perform web scraping using Python tools like BeautifulSoup, Requests, Selenium, or Scrapy.
• Build automated scripts to extract data from websites, directories, and APIs.
• Clean, transform, and validate data to ensure accuracy and consistency.
• Store and manage scraped data using CSV, Excel, SQL, or cloud databases.
• Analyze datasets to identify patterns, trends, and insights.
• Prepare dashboards, reports, and visualizations to support business decisions.
• Collaborate with the Sales team to generate and qualify business leads.
• Maintain documentation for data sources, scripts, and processes.
• Stay updated with web scraping standards, anti-bot handling, and ethical guidelines.

• Strong knowledge of Python programming.
• Hands-on experience with web scraping tools
• Experience with pandas and NumPy for data cleaning and analysis.
• Understanding of HTML structure, XPaths, and CSS selectors.
• Familiarity with SQL for data querying (preferred).
• Basic knowledge of Excel or Google Sheets.
• Problem-solving and logical thinking skills.
• Ability to handle large datasets.

• Experience with APIs and JSON data handling.
• Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Understanding of automation and scheduling tools (Cron jobs, Python schedulers).
• Basic understanding of machine learning concepts.

• Bachelors degree in Computer Science, IT, Engineering, Data Science, Mathematics, or related field.
• Completed courses or projects in Python and data analytics.
• Web scraping project experience (personal or academic) is a strong plus.

• Opportunity to work on real-world data challenges.
• Exposure to sales data and business growth strategies.
• Friendly and collaborative team environment.
• Career growth in data engineering, analytics, or automation.