Data Professional

2 weeks ago

Pune, Maharashtra, India beBeeData Full time ₹ 8,00,000 - ₹ 12,00,000

Job Title:

About the Role:

A business is looking for a skilled data analyst with strong Python expertise and hands-on experience in handling large datasets, data cleaning, analysis, and visualization.

Key Responsibilities:

  • Develop efficient Python scripts for data collection and transformation.
  • Design and implement web scraping solutions to extract structured and unstructured data from diverse sources.
  • Perform data cleaning preprocessing and analysis to identify patterns trends and insights.
  • Work with SQL and NoSQL databases for efficient data storage retrieval and manipulation.
  • Create interactive dashboards and visualizations to present metrics and business insights to stakeholders.
  • Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
  • Optimize existing data workflows and pipelines for performance and scalability.
  • Document code workflows and methodologies for clarity and maintainability.

Required Skills & Qualifications:

  • Bachelor's degree in Computer Science Data Science or a related field or equivalent practical experience.
  • Minimum 2 years of professional experience as a data analyst or in a similar role.
  • Strong proficiency in Python and key data libraries Pandas NumPy Scikit-learn.
  • Hands-on experience with web scraping tools and libraries Scrapy BeautifulSoup Selenium.
  • Solid understanding of databases with strong SQL skills exposure to databases like PostgreSQL MongoDB is a plus.
  • Experience with data visualization libraries Matplotlib Seaborn Plotly and/or BI tools Power BI Tableau Looker.
  • Strong problem-solving ability analytical mindset and keen attention to detail.
  • Experience using version control systems Git.

Preferred Qualifications:

  • Exposure to cloud platforms such as AWS Google Cloud Platform GCP or Azure.
  • Familiarity with REST APIs for data collection and integration.
  • Understanding of data warehousing concepts.
  • Prior experience working in an Agile development environment.

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