**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.
**Required Skills**
* 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.
**Nice\-to\-Have Skills**
* 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.
**Qualifications**
* Bachelor’s 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.
**What We Offer**
* 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.
Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.