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Data Analyst

Roles & Responsibilities

  • Strong Property Casualty and Workers' Compensation domain knowledge.
  • Experience in SQL, Python, and R.
  • Proficiency with metadata management and data governance.
  • Experience with BI tools (Tableau or Power BI) and statistical modeling.

Requirements:

  • Assist data product owners in defining and refining requirements for new data products.
  • Translate business needs into technical specifications and ensure data products deliver meaningful insights and value.
  • Develop and maintain source-to-target mappings for data integration and ensure accurate data translation from source systems to target databases.
  • Create documentation and guides for data sets and data products, and conduct training to improve data literacy across the organization.

Job description


Role: Data Analyst
Location: Remote
Start: Immediate
Duration: 6 Months+

Very strong Property & Casualty, Workers Comp,

Key Responsibilities:
• Assist data product owners in defining and refining requirements for new data products.
• Strong data analysis in the property and casualty insurance industry.
• Strong experience in SQL, Metadata Management, Python, R, and BI tools like Tableau or Power BI.
• Strong understanding of statistical analysis, predictive modeling, and data mining techniques.
• Translate business needs into technical specifications for data products, ensuring they deliver meaningful insights and value.
• Provide expertise in data analysis and visualization to enhance the functionality and impact of data products.
• Manage and curate metadata to ensure that data is easily accessible, understandable, and usable for analysis.
• Implement metadata standards and best practices to enhance data discoverability and usability.
• Work with data governance teams to ensure metadata aligns with data quality, privacy, and compliance standards.
• Develop and maintain comprehensive source-to-target mappings for data integration projects.
• Ensure accurate translation of data from source systems to target databases, aligning with business logic and requirements.
• Assist in data product design and develop data products that provide actionable insights, supporting strategic decision-making across the business.
• Create documentation and guides for data sets and data products, making them accessible and understandable to a wide range of users.
• Conduct training sessions and workshops to enhance data literacy across the organization.
• Excellent communication skills with the ability to translate complex data into actionable insights.



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