Our client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our client is part of one the largest Insurance Groups in the world.
Job Summary
This position partners with business teams to design and implement complex data-centric and value-added systems and solutions that enable business outcomes. Projects are complex. Performs work independently or with minimal guidance, depending on task complexity.
Main Responsibilities
- Develops complex value-based analytics solutions for quality, business process functionality, or other strategic/data/analytic initiatives that are complex in nature.
- Collaborates with cross-functional teams to identify and establish analytics requirements.
- Creates detailed documentation and business plans that address stakeholder needs.
- Liaises between IT and Product Management for data solutions.
- Uses advanced understanding of data elements, structures, standards typically involved in financial services transactions, reporting, and cloud-based data storage/sharing to adopt and apply standards in a way that satisfies and balances regulatory and compliance requirements with business needs.
- Develops and implements complex enterprise-wide data integration strategies that utilize various data- marts and data warehouse applications to enhance reporting.
- Continuously works to improve data platforms, dashboards, and reports to meet emerging and changing business demands and guidelines.
- Consults with minimal guidance from Principal on UAT, technical specifications, strategic planning, contract design, technical support, testing updates, and trainings.
- Manages data from multiple sources and uses project management skills to complete complex projects with minimal coaching and guidance.
- Transmits data and proactively works to ensure data quality.
- Troubleshoots data issues and devises creative and effective ways to avoid or mitigate issues.
