Top Data & Analytics Jobs in Seattle, WA

The Category Analyst will manage category performance through vendor engagement, data analysis, and collaboration across teams while supporting category goals.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Senior Data Analyst embedded in Finance to deliver executive-grade forecasting, intra-quarter pacing, P&L modeling, and automated reporting. Build finance data infrastructure on Snowflake, create dashboards and pipelines (Power BI, SQL, Excel), partner with IR and engineering, and mentor analysts to drive decision-ready insights.

Lead data steward for Personal Lines Product, Pricing, and Underwriting domains. Define and maintain a data roadmap, translate plans into actionable epics, govern data policy and classification, and coordinate stakeholders to modernize systems (streaming, data vault, warehousing) and enable a unified insurance platform. Advise Agile squads and collaborate with technical teams to implement durable, compliant data solutions.

Design and build foundational dimensional data models, enterprise metrics, and curated data products on a modern lakehouse. Partner with business domains to translate processes into scalable, high-quality datasets, optimize analytical workloads, and operate distributed processing systems to support analytics, BI, and AI.

The Data Scientist in Finance will analyze financial data, create dashboards, collaborate on data engineering, and find improvements for the business.

Build and maintain scalable ETL pipelines and dimensional data models to support loss detection and reporting. Develop end-to-end analytics and dashboards, ensure data quality and governance, expand reporting across products, and train business users to adopt BI tools.

As a Senior+ Agentic Analytics Engineer, you will design and deploy AI systems that provide actionable insights, build analytics tools, and manage the analytics-to-action pipeline to drive business decision-making using AI.

Develop BI models, dashboards, KPIs and ETL pipelines; clean and analyze engineering data with SQL and coding; build descriptive, predictive, and prescriptive analytics; collaborate with stakeholders to define requirements, train users, and support data-driven decision making.

Lead architecture and evolution of Headway's data platform (warehouse, ingestion, orchestration, CI/CD, monitoring, cloud infra). Serve as technical anchor across analytics, product, and ML teams, drive platform roadmaps, set standards, mentor engineers, and own end-to-end infrastructure decisions for scale and performance.