Top Hybrid Data & Analytics Jobs in Seattle, WA

Analyzes business performance, trends, competitor filings, and product-line data for personal lines property and specialty insurance. Develops advanced queries and analytical tools, conducts state and countrywide reviews, manages projects and workstreams, and recommends strategic and tactical improvements to products, pricing, technology, and business initiatives. Presents findings to product managers and serves as a subject matter expert on assigned states and products.

Lead development of scalable econometric and causal-inference methods (DiD, RDD, IV, synthetic controls, panel data) to measure long-term marketplace impact. Integrate causal insights into production ML systems, influence product strategy, present findings to executives, and mentor data scientists and economists.

Leads foundational enterprise data engineering at Chewy, setting strategy for authoritative data entities, reusable platforms, governance, metadata, quality, lineage, and observability. The role embeds AI into data development and operations, creates intelligent data discovery and automation experiences, simplifies fragmented pipelines, and improves proactive quality management. It also leads managers and engineering teams, establishes standards, partners with data product and reliability organizations, and drives measurable improvements in delivery speed, reuse, reliability, and data confidence.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Design, build, and operate large-scale ETL pipelines, data lakes, and data platforms processing billions of daily events. Own data quality, freshness, reliability, monitoring, and observability for foundational datasets. Develop self-service ETL frameworks and tooling, contribute to architecture and technical strategy, and partner with product, engineering, machine learning, data science, and leadership teams to deliver scalable data solutions.

Implement and monitor pricing strategies across consumer lending: translate strategy into technical specs, maintain audit trails, collaborate with engineering, validate data pipelines, build automated controls and Tableau dashboards, support risk management, and coordinate execution with internal and external partners.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Lead strategy, governance, and delivery of trusted digital interaction and behavioral data across web and mobile. Define metadata, taxonomy, measurement, quality, lineage, access, and controls to enable reporting, experimentation, personalization, AI/ML, and marketing activation while coaching teams and partnering with cross-functional stakeholders.

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.