Top Analytics Jobs in Seattle, WA
As a Principal Machine Learning Engineer, you will lead the technical roadmap for Snap's Ad Marketplace, designing and scaling machine learning models to enhance ad efficiency, collaborate with teams on machine learning strategies, and ensure operational excellence throughout the system.
As a Product Data Analyst for Fraud, you will analyze fraud data to help implement product strategies and improve customer experiences. You'll design experiments, build metrics for fraud system performance, and develop tools for Fraud Specialists. This position focuses on using data science techniques to mitigate fraud risk while enhancing product usability.
The Director, Analytics and Data Platform Delivery leads teams in managing and delivering analytic/data platforms, ensuring alignment with Pfizer's strategic vision. Responsibilities include overseeing design, security, compliance, and financial management of data technologies while fostering innovation and collaboration with senior leadership and external partners.
As a Senior Manager, you will oversee multiple projects, ensure the accuracy of clinical data, and manage operational activities within your division. You will guide your team in developing data management plans, implementing quality data capture solutions, and anticipating talent development needs. Your role is critical in achieving project objectives and promoting knowledge sharing across teams.
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As a Senior Manager in PwC Intelligence, you will lead a team to address complex business issues, innovate firm operations, and develop service offerings by leveraging statistical knowledge, machine learning, and advanced data analysis techniques.
As a Cloud Data & Analytics Manager, you will work on aligning client data strategies with their business strategy and assisting in the migration to modern cloud data environments. You will utilize various cloud providers and develop recommendations to solve complex business issues, as well as coach team members and drive impactful data-driven decisions.
The Decision Analytics Associate Consultant will develop and apply advanced statistical models for healthcare clients, leverage analytic techniques for decision-making, design analyses in various technologies, and communicate results to stakeholders. They will also build client relationships and guide project deliverables.
As an Associate Director of Data Science, you will develop and implement algorithms to solve complex supply chain issues, use machine learning and operations research, and collaborate with various supply chain functions to optimize operations. You will drive strategic planning initiatives and lead analytics teams for continual improvement in processes and metrics.
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The Data Analyst 3 role involves collecting, analyzing, and presenting data to improve decision making in Supply Chain Operations. Responsibilities include partnering with stakeholders, applying statistical methods, delivering insights via BI reporting, and managing ETL processes while maintaining effective communication across teams.
The Staff Supply Chain Analyst will analyze data to improve procurement, inventory management, capacity planning, and vendor performance. Responsibilities include building dashboards, leading automation projects, forecasting infrastructure needs, supporting financial reporting, and identifying risks. Strong analytical skills and proficiency in data tools are necessary for success in this role.
The Senior Leadership Enablement & Development Analyst at Qualtrics is responsible for designing, implementing, and managing talent development programs for leaders. Key responsibilities include creating engaging training materials, facilitating sessions, collaborating with HR teams, evaluating program effectiveness through metrics, and promoting a culture of growth among employees.
Provide technical support for technology products and applications, including computer hardware and software, telecommunications equipment, and networks. Support Service Desk, End User Computing, and Field Services. Track and document problems, perform system setups, and contribute to knowledge repository for technical support.
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