Senior Data Analyst

10 hours ago

Aurangabad, Maharashtra, India beBeeDataMining Full time ₹ 8,00,000 - ₹ 12,00,000
Data Mining Analyst

The role of Data Mining Analyst involves the automation of data extraction processes from web platforms. This includes designing, developing, and maintaining robust web scraping solutions to extract structured and unstructured data from various websites and APIs.

Key responsibilities include using tools like Python, Selenium, BeautifulSoup, Scrapy, and Pandas for data scraping and processing. Additionally, building and managing automated scripts to scrape dynamic websites, including handling JavaScript-driven content is essential.

Optimizing scraping workflows to ensure data extraction is efficient, accurate, and scalable is also a key part of this role. Furthermore, working with APIs to gather and integrate data, ensuring proper rate limits and authentication handling, is necessary.

Clean, preprocess, and store extracted data in databases (SQL) or cloud-based systems. Collaborate with data analysts and other stakeholders to provide required data for further analysis and reporting.

  • Design and Develop: Design, develop, and maintain robust web scraping solutions.
  • Scrape and Process: Use tools like Python, Selenium, BeautifulSoup, Scrapy, and Pandas for data scraping and processing.
  • Build and Manage: Build and manage automated scripts to scrape dynamic websites.
  • Optimize Workflows: Optimize scraping workflows to ensure data extraction is efficient, accurate, and scalable.
  • Integrate Data: Work with APIs to gather and integrate data.

Required Skills and Qualifications

  • Experience: 1-3 years of hands-on experience in web scraping and data extraction.
  • Technical Skills:
  • Strong Proficiency in Python: Strong proficiency in Python programming language.
  • Web Scraping Frameworks: Experience with web scraping frameworks and libraries like Selenium, Scrapy, BeautifulSoup, and Requests.
  • Data Manipulation Libraries: Experience with data manipulation libraries like Pandas.
  • API Integration: Familiarity with API integration (REST, GraphQL, etc.).
  • SQL Knowledge: Proficiency in SQL for data querying, database design, and managing large datasets.
  • Front-end Technologies: Knowledge of JavaScript and front-end technologies to work with dynamic web pages.
  • Version Control: Experience with version control (Git) and collaborative development environments.
  • Problem-solving Skills: Problem-solving skills with attention to detail.
  • Automation Expertise: Ability to write clean, maintainable code and automate workflows.
  • Cloud Services: Familiarity with cloud services (AWS, Azure, GCP) is a plus.

Bonus Points

  • Strong Communication Skills: Excellent communication and collaboration skills.
  • Continuous Learning: Willingness to learn new technologies and adapt to changing requirements.

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