Data Analyst Very strong Property & Casualty Exp (Remote) at Strong, Arkansas, USA |
Email: [email protected] |
From: Rakesh, Nutech [email protected] Reply to: [email protected] Role: Data Analyst Very strong Property & Casualty, Workers Comp, 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. Thanks & Regards Rakesh Nutech Systems, Inc. [email protected] www.nutech-inc.com Keywords: business intelligence rlang Data Analyst Very strong Property & Casualty Exp (Remote) [email protected] |
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Thu Apr 04 20:33:00 UTC 2024 |