Data Wrangler
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job summary:
Summary of Responsibilities- 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
- 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.
- Experience level: Experienced
- Minimum 6 years of experience
- Education: Bachelors
