Data Analyst
Data Analyst
makunai globalThis job is no longer accepting applications
Job Description
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.
- 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.
- 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.
More Info
Key Skills
About Company
Skills:
Power Bi, Tableau, Excel, Sql
Skills:
Sql, Python, Reporting
Skills:
Data Warehousing, Sql, Data Cleaning, Data Modeling, Data Visualization, Reporting, Data Analysis