Key Requirements:

• Bachelor's degree in mathematics, computer science, statistics, or a related field
• Strong programming skills in Python, Nodejs, PHP, or similar languages
• Experience with web scraping frameworks such as BSoup, Scrapy, or Selenium
• Familiarity with database systems such as MySQL or MongoDB
• Knowledge of HTML, CSS, and JavaScript
• Strong knowledge of statistical analysis, data mining, and data cleaning 
• Experience with data visualization tools such as Tflow, PowerBI, or Google Data 
• Proficient in programming languages such as SQL, Python, and Nodejs
• Excellent problem-solving and critical thinking skills
• Strong communication and presentation skills

Key Responsibilities:

• Collect, process, and analyze large datasets to identify trends and patterns
• Develop and maintain web scraping scripts to collect data from various sources
• Implement automation tools to streamline the data extraction process
• Troubleshoot and debug issues related to data scraping and crawling
• Develop statistical models to predict future trends and outcomes
• Identify data quality issues and clean and transform data as needed
• Create visualizations and reports to present findings to stakeholders
• Collaborate with cross-functional teams to support data-driven decision-making
• Stay up-to-date with emerging data analysis technologies and techniques.