As a Business Intelligence Analyst III, you will be a key analytics contributor on a cross‑functional product team comprised of Data Engineering, Data Analytics, and Product Management, helping define the strategy and analytical direction for data products that enable informed, data‑driven decision making. In this role, you will design and deliver dashboards and visualizations, while also performing deeper, advanced analyses as needed to uncover insights and support data‑driven storytelling. You’ll translate complex business needs into clear, consumable insights by defining key metrics, analytical approaches, and success measures, partnering closely with data engineering and product management to ensure scalable, well‑designed solutions that align to business outcomes. This position supports our Finance, Actuarial, and Accounting teams from a data analytics perspective, making experience in these disciplines especially valuable. You’ll investigate trends using sound analytical reasoning, exploratory data analysis, and data visualization to deliver meaningful, interactive decision support tools. You will serve as an Analytics Technical Lead within a cross‑functional product team, collaborating closely with data engineering, data analytics, and product management partners to help refine business problems, shape solution approaches, and influence the data products delivered to stakeholders. The ideal candidate brings strong Business Intelligence capabilities, balanced with an aptitude and curiosity for advanced analytics, and can effectively bridge technical expertise with business context through clear communication and data‑driven storytelling. This role also plays a critical part in supporting compliance and regulatory reporting. You will help ensure data accuracy, consistency, and timeliness for reporting with tight deadlines and a high degree of scrutiny, partnering closely with Finance, Accounting, Actuarial, and product stakeholders. We’re seeking someone with demonstrated experience designing and building dashboards, summarizing large and complex datasets, and influencing outcomes through data‑driven insights.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees