Top Data & Analytics Jobs in Seattle, WA

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.

Design and build BI models, dashboards and ETL pipelines using SQL and visualization tools to provide KPIs and analytics (descriptive, diagnostic, predictive, prescriptive). Clean and preprocess data, develop analytics solutions, partner with stakeholders, train users, and support data-driven decision making. Role is onsite in Tukwila, WA and requires ability to obtain Top Secret clearance.

Lead architecture and delivery of SoFi's data platform: build scalable data pipelines, drive cloud-native and AI-enabled tooling, enforce governance and security, mentor senior engineers, and support production on-call.

As a Senior Data Engineer, you'll design and build data solutions, optimize data pipelines, and ensure data governance while mentoring team members.

The Senior Analytics Engineer will design and maintain data models, ensure data quality, collaborate with teams on data requirements, and set engineering standards for data pipelines at Remitly.

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.

Design and maintain data pipelines, models, and reporting solutions. Build complex SQL queries, statistical analyses, and Python scripts. Create interactive dashboards, partner with stakeholders to translate requirements, and deliver actionable insights for retail/e-commerce and clickstream data to optimize operations.

Own and evolve the enterprise semantic layer for Machine Infrastructure Supply Chain. Build analytics-ready models and dashboards, operate data pipelines, partner with data engineering, finance, product, and operations, and deliver metrics and insights to optimize inventory, reconciliation, and supply chain decisions.

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

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.