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We are seeking an experienced SQL Engineer to join our team. The successful candidate will be responsible for collecting, analyzing, and interpreting complex data sets to uncover valuable insights that drive informed business decisions. The role involves utilizing advanced statistical analysis techniques, data visualization, and SQL querying to extract meaningful information from large databases.
Responsibilities:
- Data Management: Collect, clean, and organize data from various sources, ensuring data integrity and accuracy.
- Statistical Analysis: Perform statistical analysis, including hypothesis testing, correlation analysis, and predictive modeling, to identify patterns and trends within datasets.
- Database Development: Develop and maintain data warehouses and databases using SQL queries and scripts.
- Data Visualization: Create data visualizations and reports to effectively communicate findings to stakeholders.
- Collaboration: Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Continuous Learning: Continuously explore new data analysis techniques and stay updated with industry best practices.
- Workflow optimization: Optimize data processing and analysis workflows for efficiency and scalability.
Required Skills:
- Strong experience with data bricks and/or AWS.
- Strong proficiency in SQL (Structured Query Language) for data manipulation and querying.
- Expertise in statistical analysis methods, including hypothesis testing, regression analysis, and predictive modeling.
- Proficiency in Python for data manipulation and analysis.
- Strong analytical and problem-solving skills with the ability to think critically and draw insights from complex data sets.
- Excellent communication and interpersonal skills to collaborate with cross functional teams and present findings to stakeholders.
- Ability to work in a fast paced, dynamic environment and handle multiple projects simultaneously.
- Strong attention to detail and commitment to data quality and accuracy.
Good to have:
- Familiarity with machine learning techniques and algorithms is a plus.
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