Top Insurance Data & Analytics Jobs in Seattle, WA

Design, build, and operate a scalable, resilient Data Lakehouse. Lead architecture, evaluate open-source tooling, ensure performance and usability, mentor engineers, collaborate across teams, and drive DevOps and cloud best practices.

The Marketing Data Analyst will analyze performance data across marketing and sales channels, develop dashboards, and provide insights to improve customer engagement and ROI.

The Commercial Analyst will manage performance tracking for the aggregator channel, conduct analytics, support commercial negotiations, and collaborate cross-functionally to drive insights and optimizations across the pet insurance portfolio.

Lead design and implementation of automated risk monitoring, analytics, and dashboards. Build data pipelines and predictive models (Power BI, Snowflake, SQL) to enable continuous compliance monitoring, integrate risk data sources, and deliver insights to executives, Audit, ERM, and the Board.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

Contract Tableau expert to design, build, and improve dashboards from source data. Model complex datasets, optimize performance and usability, establish dashboard best practices, and partner with stakeholders to deliver actionable reporting (30–35 hours/week, contractor).

The Quality Analyst III analyzes healthcare data, generates reports, collaborates with teams for insights, and ensures quality metrics are effectively communicated.

Senior individual contributor owning partnerships analytics: lead agent acquisition and product analytics, build risk/commission debt models, define onboarding "aha" metrics, optimize funnels, enable self-serve analytics, integrate generative AI tooling, and mentor junior analysts.

The Business Unit Systems Analyst translates business strategies into execution-ready requirements, manages user stories and UAT processes, and ensures operational readiness in a collaborative environment.

The Actuary performs risk assessments, analyzes claims and demographics, builds predictive models, and monitors market trends to manage financial risks for the company.