Top Data & Analytics Jobs in Seattle, WA
The Staff Supply Chain Analyst will analyze data to extract insights, build dashboards, and monitor supply chain performance. Responsibilities include automating processes, forecasting requirements, managing supplier performance, and overseeing financial reporting and risk management within the cloud supply chain domain.
The Data Analytics Partner at Dropbox will leverage People data to analyze trends, influence organizational strategy, and provide actionable insights to stakeholders. Responsibilities include supporting analytics projects, conducting data forensics, enhancing data accuracy, and collaborating with the dashboard team on visualizations. This role requires strong analytical skills and experience in business intelligence, particularly within HR contexts.
The Senior Architect will guide clients in developing Big Data strategy, focusing on DataBricks. Responsibilities include designing data processing pipelines, providing data management expertise, mentoring consultants, ensuring data integrity, and coordinating with data source application owners to integrate analytics platforms. The role involves leveraging technical knowledge and consulting experience to address client needs across various industries.
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The Database Manager will oversee support, maintenance, and enhancements of CRM systems while ensuring effective data management and quality. Responsibilities include user administration, data integrity, tool integration, compliance procedures, training, and collaboration with stakeholders to improve processes and systems.
The Data Engineer II at Deako will participate in code reviews, build SQL queries for dashboards, maintain data infrastructure and pipelines, and work with stakeholders on data collection and cleaning. The role requires collaboration with data and software teams to enhance data practices.
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The role involves partnering with key stakeholders to enhance business performance through data analysis, reporting on A/B testing, and collaborating with product teams. Responsibilities include synthesizing data, establishing reporting, and innovating problem-solving approaches in a complex marketplace environment.
Collaborate on product and business problems, apply technical expertise with quantitative analysis, develop strategies, define hypotheses, test opportunities, and shape product development using data.
The Lead Machine Learning Engineer will develop, implement, and optimize recommendation algorithms for Disney's media platforms. This role involves collaborating with engineering and product teams to achieve personalization goals, maintain ETL pipelines, and ensure best practices in algorithm development. The engineer will also drive the roadmap for algorithmic projects to enhance content recommendations.
The Senior Staff Scientist will develop hybrid AI applications optimized for quantum computing, lead a team of PhD scientists, collaborate across various technical teams, and engage with clients to identify valuable quantum applications. Responsibilities include developing quantum algorithms, integrating them with AI models, and influencing a multi-year Quantum AI roadmap at IonQ.
Develop quantum chemistry algorithms and applications, collaborate with various teams to design optimized quantum workflows, and work with clients to address real-world problems using IonQ's quantum computers.
As the Senior Director of Analyst Relations, you will lead the Analyst Relations program, develop strategic plans, build relationships with top industry analysts, manage effective communication, influence product strategies based on feedback, and participate in key industry evaluations.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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