Top Data & Analytics Jobs in Seattle, WA

As a Model Risk Analyst, you will develop and implement model risk management practices, validate models, identify potential risks, and support risk mitigation activities. The role involves collaboration with internal teams and customers to ensure models are accurately managed, while tracking and reporting model risk issues regularly.

The Reporting Analyst at Headspace is responsible for creating custom reports, monitoring service delivery against SLAs, and identifying process improvements. This role requires strong analytical skills and proficiency in data visualization and reporting tools to support the Client Success team effectively.

The Business Analyst will lead the implementation of data integrations for payments customers, guide them through the claims integration process, and manage technical support for ambiguous projects. They will document business processes, identify opportunities for scaling efficiencies, and provide expertise in data integration with a focus on improving operations and go-live processes.

The Senior Reporting & Analytics Analyst at Children’s Wisconsin will analyze complex business problems, provide technical expertise in workforce analytics and reporting, collaborate with HRIS and Finance teams, train end users, and deliver HR-related reports and tools.

The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.

The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.