Top Data & Analytics Jobs in Seattle, WA

The Solutions Architect at CDW specializes in Microsoft Data and AI solutions, engaging directly with clients to understand their business needs, creating technical solutions, and overseeing the delivery process. This role emphasizes presales support, document preparation, sales planning, partner relationship management, and the development of intellectual property

As a Senior Business Operations Analyst, you'll support revenue growth and customer retention through data management, process development, and reporting, while collaborating with various teams to maintain quality operations and provide insights to leadership.

Experienced data analyst needed to tackle supply chain analytics challenges at Dandy, a dental industry tech company. Responsibilities include developing insights, defining data language, facilitating decision making, mentoring analysts, and utilizing data for problem-solving. Ideal candidates have 3+ years of experience in operations analytics or data science, BA/BS in a quantitative field, strong SQL and Python skills, and the ability to communicate results effectively.

The Lead Sales Compensation Analyst at Motive will manage day-to-day sales commissions processes, provide resolution for inquiries, validate data through analysis, and support system updates while ensuring compliance and process improvement.

The Developer in Test III will design and maintain automation frameworks, perform data validation, and develop test strategies for Azure data engineering projects. Responsibilities include testing large datasets, conducting various test types, and collaborating with analysts and developers to assure quality and testability.

The Manager, People Analytics will oversee Okta's People Analytics data management platform, manage a team, analyze large data sets, design dashboards, and implement data governance standards while collaborating with various teams.

Research Engineer / Research Scientist role focusing on finetuning AI systems to improve behavior and alignment with human values. Opportunity for creative research on language models and AI safety efforts at Anthropic. Results-oriented candidates with Python and machine learning experience preferred.

As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.