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- Constructs business facing datasets from a variety of sources internal and external to enable and perform analysis based on requests from project teams or senior leadership.
- Breaks down business opportunities to identify business facing datasets to appropriately align to organizational needs through a business perspective.
- Integrates data from multiple data sources or functional areas, evaluates data quality, and transforms data as needed.
- Analyzes and interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement.
- Growth oriented mindset with a strong desire to learn and stay current on best practices and emerging capabilities to analyze data.
- 10+ years of data engineering experience
- 5+ years in Property & Casualty Insurance with a thorough understanding of insurance data and core insurance metrics
- Leadership and mentoring skills
- Proven analytical and problem-solving skills
- Advanced knowledge of SQL, Python, R, SAS, and other various data engineering tools
- Ability to manage large complex projects or processes independently
- The Data Engineer must be someone with experience solving data engineering problems in a variety of manners, intellectually curious, and with a commitment to unlocking the value of data
- Growth oriented mindset with a strong desire to learn and stay current on best practices and emerging capabilities to analyze data
- As a Data Engineer, your main responsibilities will include creating complex datasets for use by our Data Scientists, Actuaries, and other analysts
- You will work directly with various business individuals to identify the areas of opportunities and construct datasets from complex sources for statistical analysis
- Constructs business facing datasets from a variety of sources internal and external to enable and perform analysis based on requests from project teams or senior leadership
- Breaks down business opportunities to identify business facing datasets to appropriately align to organizational needs through a business perspective
- Integrates data from multiple data sources or functional areas, evaluates data quality, and transforms data as needed
- Analyzes and interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement