
Senior Business Intelligence Developer
6 days ago
Key Responsibilities:
- Develop efficient scripts for data collection and transformation.
- Design 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 databases for efficient data storage, retrieval, and manipulation.
- Create interactive dashboards and visualizations to present metrics and business insights to stakeholders.
- Collaborate with teams to understand business needs and translate them into data-driven solutions.
- Optimize existing workflows and pipelines for performance and scalability.
Bachelor's degree in Computer Science or a related field, or equivalent practical experience. Minimum 2 years of professional experience as a Data Analyst or in a similar role.
Required Skills & Qualifications:
- 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.
- 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.
PREFERRED QUALIFICATIONS:
- Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure.
- Familiarity with REST APIs for data collection and integration.
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