Westfield Insurance
Data Senior Analyst
Westfield Insurance, Westfield Center, Ohio, us, 44251
This opportunity resides in our Agency Distribution team, which plays a critical role in supporting and enhancing the performance of our agency partners. The team assists with driving growth and success through strategic distribution initiatives, relationship management, and performance optimization. In this role, you will focus on generating actionable insights that directly impact agency performance, helping to shape strategies and improve outcomes across our distribution network.
Minimum Requirements:
5-7 years of overall experience in Data Science and Analytics or a related field.
Bachelor's degree in a related field such as Computer Science, Information Technology, Mathematics, Statistics, or Business Administration.
Key Responsibilities:
Covers the use of data as needed to effectively communicate increasingly complex analytical and business concepts and content.
Performs data analysis, data profiling and data sourcing utilizing knowledge of data definitions, domain values, data relationships, business rules, data sources and the enterprise integrated data environment.
Analyzes impacts of planned new application development or enhancements to existing applications on legacy and other relational data stores and the enterprise integrated data environment.
Analyzes and identifies data quality concerns or cleansing opportunities to correct data quality anomalies and facilitate resolution between technical, business, and other stakeholders.
Uses quantitative and qualitative analyzes to guide findings and advise recipients on potential impacts and alternatives and make recommendations.
Collaborates with business partners to generate data needed to analyze key business issues and develops relationships and fosters collaboration with key partners across the organization.
Maintains accurate procedural documentation and reference materials and identifies opportunities for process improvement and supports process improvement efforts.
Applies knowledge and experience of appropriate tools, technologies and techniques to perform moderate to complex analyses.
Identifies potential data sources and selects appropriate data based on business requirements and extracts and prepares data to ensure the most complete and high-quality data is used.
Increases awareness and knowledge of internal and external operations, trends, best practices and tools.
Discovers and shares results with other analysts and managers.
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Minimum Requirements:
5-7 years of overall experience in Data Science and Analytics or a related field.
Bachelor's degree in a related field such as Computer Science, Information Technology, Mathematics, Statistics, or Business Administration.
Key Responsibilities:
Covers the use of data as needed to effectively communicate increasingly complex analytical and business concepts and content.
Performs data analysis, data profiling and data sourcing utilizing knowledge of data definitions, domain values, data relationships, business rules, data sources and the enterprise integrated data environment.
Analyzes impacts of planned new application development or enhancements to existing applications on legacy and other relational data stores and the enterprise integrated data environment.
Analyzes and identifies data quality concerns or cleansing opportunities to correct data quality anomalies and facilitate resolution between technical, business, and other stakeholders.
Uses quantitative and qualitative analyzes to guide findings and advise recipients on potential impacts and alternatives and make recommendations.
Collaborates with business partners to generate data needed to analyze key business issues and develops relationships and fosters collaboration with key partners across the organization.
Maintains accurate procedural documentation and reference materials and identifies opportunities for process improvement and supports process improvement efforts.
Applies knowledge and experience of appropriate tools, technologies and techniques to perform moderate to complex analyses.
Identifies potential data sources and selects appropriate data based on business requirements and extracts and prepares data to ensure the most complete and high-quality data is used.
Increases awareness and knowledge of internal and external operations, trends, best practices and tools.
Discovers and shares results with other analysts and managers.
#J-18808-Ljbffr