Top Senior Data & Analytics Jobs in Seattle, WA

Lead advanced analytics and measurement initiatives that address complex business questions and inform enterprise decisions. Partner with HR and business leaders, develop statistical analyses and evaluation frameworks, synthesize data, and present actionable recommendations through compelling storytelling. Manage cross-functional projects, influence stakeholders, establish analytical direction, research emerging techniques, and mentor analysts while advising on talent, culture, employee experience, organizational health, and leadership.

Leads data governance architecture and implementation, including MDM and data quality tools. Evaluates governance products for functionality, compliance, security, and integration suitability; defines requirements, standards, and strategies; manages tool configuration; assesses architectural constraints and lifecycle impacts; and ensures data systems meet security and regulatory requirements, including ITAR compliance.

Lead design and implementation of data architecture, ETL/ELT pipelines, data models, warehouses and lakes. Ensure data governance, security, cloud deployments, performance and cost optimization. Coach and manage team members, partner with stakeholders, and drive data-driven solutions for clients.

Manage digital analytics instrumentation across web and mobile channels. Translate business goals into measurement specifications, define KPIs, oversee behavioral tagging, validate analytics implementations, troubleshoot tracking issues, and maintain data collection standards. Partner with marketing, product, engineering, and technology teams to ensure event data becomes reliable, analytically usable datasets. Prioritize defects and enhancements across multiple concurrent projects while communicating risks and recommendations to analytics leadership.

Design and build scalable data pipelines, models, and dashboards for supply chain KPIs. Partner with business stakeholders to enable forecasting, scenario planning, data governance, automation, and actionable reporting for leadership and projects.

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.

Provide executive-grade financial and operational analysis, forecast mortgage production and revenue, own intra-quarter pacing, build automated reporting and enterprise P&L models (loan-level), develop dashboards and pipelines in Power BI/SQL/Excel, support earnings and IR, help build finance data infrastructure on Snowflake, and mentor finance analytics teammates.

Design, build, and maintain enterprise data warehouse and data lake solutions. Develop, tune, and operate ETL pipelines and SQL for analytics. Own end-to-end features, collaborate with analytics and engineering teams, and evolve data storage and ingestion platforms.

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

Lead and grow a data engineering team, define data platform architecture and reliability (warehouse, ingestion, transformations, orchestration), set engineering standards, partner cross-functionally to support analytics and ML, and translate technical decisions for executive stakeholders.