
Senior Business Insights Developer
2 weeks ago
A Data Analyst plays a pivotal role in extracting, transforming, and loading data from various sources into databases and data warehouses.
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.
Required Skills and 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).
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.
Benefits:
- Collaboration with cross-functional teams to understand business needs and translate them into data-driven solutions.
- Presenting metrics and business insights to stakeholders through interactive dashboards and visualizations.
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