Top Healthtech Data & Analytics Jobs in Seattle, WA

The Senior Data Analyst will analyze healthcare data, create visualizations, develop dashboards, and provide insights for policy and hospital performance improvements.

The Business Analyst is responsible for analyzing operational initiatives, developing data models, producing reports, ensuring data governance, and engaging with stakeholders in healthcare settings.

Lead design and optimization of analytics products and Tableau dashboards, manage and tune reporting data pipelines (Redshift/ETL), implement performance best practices, collaborate cross-functionally, and drive automation and AI opportunities to improve reporting and analytics for healthcare customers.

Lead design, build, and support of cloud-based ETL, data warehousing, and reporting solutions. Develop/optimize ETL pipelines, data models, and queries; deploy containerized services on Kubernetes; automate workflows; mentor teammates; collaborate with architects, data scientists, and stakeholders to deliver scalable analytics and reporting products.

Develop and maintain Epic Healthy Planet registries and analytics solutions: gather requirements, profile Epic source data, build rules/metrics/dashboards, provide ad-hoc analysis, support end users, document solutions, and mentor users.

The Associate BOS role involves data analysis, process improvement, and project coordination using various reporting tools and database structures to enhance operational effectiveness and user experience.

The Software Engineer III will design, develop, and maintain software applications for processing large data volumes, collaborating with teams to build data solutions, and ensuring data quality and efficiency.

Lead the Business Intelligence team to drive strategic analytics initiatives, manage team performance, and deliver insights to enhance operational goals across digital healthcare products.

The Data Engineer role involves designing and maintaining AWS-cloud-native data systems, developing ETL processes, optimizing data pipelines, and ensuring data security and governance in healthcare data applications.

The Senior Data Engineer will build and optimize data pipelines and knowledge graphs, collaborating with teams to support analytics and machine learning initiatives, ensuring data reliability and quality, and mentoring junior members.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.