Top Senior Data & Analytics Jobs in Seattle, WA

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.

Lead People Analytics, AI Enablement, and HR Technology to transform reporting into predictive, AI-enabled workforce decision support. Build analytics models, self-service reporting, system integrations, governance, and AI pilots. Partner across People, Finance, Engineering, and IT to connect people insights to business outcomes, drive adoption, and scale HR systems and processes for organizational growth.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

As an MDM Senior Architect-Manager at PwC, you will lead teams, manage client accounts, and architect end-to-end MDM solutions to enhance data management capabilities and align with business processes.

The MDM PIM Manager at PwC oversees Product Information Management solutions, ensuring data quality, mentoring teams, and driving innovation in product data practices.

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.

As a Data Engineer, you will design, implement, and maintain data systems for Notifications at Whatnot, ensuring data quality and performance while collaborating with cross-functional teams on data architecture and workflows.

The Data Scientist III will design online experiments, develop models for causal inference, ensure data quality, and communicate insights across teams.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Partner with business teams to define analytics roadmaps, build dashboards and visualizations in Tableau, write complex SQL for ad hoc analysis, collaborate with Data Engineering to evolve the data warehouse, maintain a data catalog/dictionary, set data quality and governance standards, define SLAs for data products, troubleshoot performance issues, and mentor junior analysts.

Design and deliver reusable BI models, dashboards, SQL queries, and ETL pipelines on cloud platforms. Produce analytics, prototype GenAI/LLM features and prompt engineering solutions, integrate AI with BI tools, ensure data privacy/PII handling, collaborate with data scientists/engineers, and support agile delivery and automation.

Design, build, and maintain Gusto's data infrastructure and tooling. Handle large-scale batch and real-time data (clickstream, DB, third-party). Own solutions end-to-end: gather requirements, implement pipelines, monitor production, and troubleshoot with stakeholders and cross-functional teams.