Top Data & Analytics Jobs in Seattle, WA
As a Sr. Data Engineer, you will develop and optimize ETL pipelines and scalable systems on Google Cloud Platform. Your role involves delivering high-quality solutions, collaborating with cross-functional teams, mentoring junior engineers, and leading initiatives while applying strong analytical skills in an Agile environment.
The Senior Manager of Data Management is responsible for overseeing the Cohere data supermarket, managing business and data analysts, designing data use capabilities, implementing automated ETL processes, and ensuring data accuracy in a big data environment, while working collaboratively with stakeholders to enhance operational efficiency.
As a Business Intelligence Engineer, you will work with stakeholders to understand reporting needs, optimize existing reports, ensure data quality, and perform data analysis to support decision-making. You will leverage your expertise in healthcare data and BI tools to enhance insights and contribute to the company's mission of improving healthcare outcomes.
The Analyst II, Fraud Strategy role involves exploring data to enhance fraud prevention strategies, translating analysis into decision-making recommendations, and developing analytics workflows. It requires collaboration with cross-functional teams, particularly in Machine Learning, and the use of tools like DBT and Looker to assess fraud decisioning systems.
The Analyst II, Credit Risk position at Affirm involves utilizing data analytics to develop credit strategies and manage business risk. Responsibilities include collaboration with various teams to design new products, optimize purchasing power, and enhance credit underwriting processes through data insights and experimentation.
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The Analytics Manager will identify opportunities for improving business intelligence, partner with product teams, and work cross-functionally to support client deliverables. The role requires strong project management and analytical skills, along with the ability to convey complex concepts to various stakeholders.
As a Senior Machine Learning Engineer, you will design, develop, and deploy machine learning solutions for logistics challenges, collaborating with team members and stakeholders to enhance operational efficiency in the marketplace.
The Principal Data Engineer will design and implement end-to-end scalable data solutions, optimize data storage and distribution, maintain data architecture standards, and mentor other engineers. This role involves collaboration with cross-functional teams to ensure data security and compliance while adapting to evolving business needs.
As a Senior Production Support Analyst at Arcadia, you will triage, troubleshoot, and resolve support requests from customers and internal stakeholders. This role involves collaboration with cross-functional teams, providing root cause analysis for data and application issues, and maintaining documentation. You'll also advocate for product improvements and communicate technical concepts effectively with stakeholders.
As a Production Support Analyst at Arcadia, you will triage, troubleshoot, and resolve customer requests while leveraging technologies like AWS and SQL. Key responsibilities include managing support tickets, providing root cause analysis, building subject matter expertise, and collaborating with internal teams to enhance product support.
The Senior Machine Learning Engineer at Workiva will deliver ML solutions by developing and integrating innovative features. Responsibilities include designing systems for rapid ML development, developing APIs, maintaining ML infrastructure, mentoring team members, and collaborating with product teams. The role requires problem analysis for service stability and engagement with support teams among other duties.
As a Senior Data Scientist, you will develop and enhance software solutions for short-term rental hosts using machine learning and data analysis to improve decision making, optimize pricing, and enhance guest experiences. You'll collaborate with cross-functional teams to define product requirements and ensure effective delivery of insights-driven tools.
As a Principal Data & Business Intelligence Architect, you will design and optimize cloud-based data warehouses, lead data architecture efforts, mentor junior staff, and collaborate with cross-functional teams to drive business intelligence solutions. You will ensure high availability and performance of databases while developing actionable insights for decision-making.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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