Hiscox USA was established in 2006 to focus primarily on the needs of small and middle market commercial clients, via both the broker and direct distribution channels and is today the fastest-growing business unit within the Hiscox Group. Hiscox USA offers a broad portfolio of commercial products, including technology, cyber & data risk, multiple professional liability lines, media, entertainment, management liability, crime, kidnap & ransom, commercial property and terrorism. About the Hiscox Data Team The Hiscox Data Team is transforming data maturity across the organization to accelerate business growth and efficiency using Data, Analytics, and AI. The virtual team consists of a central function driving alignment, Business Unit teams identifying commercial value and providing execution capacity and technology providing for Data Engineering and ML Operations services. We aim to empower colleagues by improving data fluency and promote a data-driven, insight-led culture that supports informed, customer-centric decisions. Commercial focus, continuous improvement and product centric delivery is at the heart of everything we do. The Role: Hiscox US is seeking an Analytics Engineer with experience designing, developing, and supporting data analytics capabilities and reports to join our US Data team. The Analytics Engineer will: Contribute to analytics capability development and asset growth while helping turn insights into action Design solutions that are scalable and consider end-to-end dependencies, keeping overall value and impact in mind Deliver projects in alignment with strategy, including building semantic models, data visualization, self-service analytics, standardized reporting, and user support for analytics applications Support usability of analytics and reporting through consistency, efficiency, relevancy, availability, quality, compliance, and governance Assist with data discovery and improving data accessibility Promote user adoption and provide ongoing support The role involves collaborating with business units to understand business needs and strategies, gathering requirements for reporting and analytics, and helping identify and track key KPIs/OKRs and user activity to ensure solutions meet business objectives. Analytics Engineers at this level should have a solid foundation in data visualization and analysis using SQL and analytics tools, and be able to assess large datasets and build effective reports and analytics capabilities to communicate actionable insights. They should also be comfortable explaining their tools and findings to business stakeholders and supporting the evolution of analytics capabilities.
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Job Type
Full-time
Career Level
Mid Level
Industry
Insurance Carriers and Related Activities
Number of Employees
1,001-5,000 employees