Data Analyst

Position:

Experience:

Location:

Joining:

About the Role:

Data Analyst

Key Responsibilities:

• Develop, test, and maintain 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 and maintain 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

  .