Top Data & Analytics Jobs in Seattle, WA

The Associate Director, Biostatistics is responsible for statistical guidance in clinical study design, data analysis, and regulatory submissions, leading clinical study teams to ensure timely and quality outcomes.

As the first pricing analyst for the SMB business line, you will analyze market trends, pricing strategies, and customer behavior to provide data-driven recommendations.

Lead product-focused analytics to drive consumer and seller experience: perform deep statistical analyses, design and run A/B and multi-armed bandit experiments, build scalable data pipelines and dashboards, partner with cross-functional teams, and present insights to executive leadership.

The Lead Business Intelligence Analyst will modernize reporting frameworks using Adobe Analytics and Power BI, translating complex marketing data into insights and driving strategic decision-making through effective communication with stakeholders.

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.

As a Product Data Analyst, collaborate with cross-functional teams to analyze product usage data, define KPIs, and support data-driven decisions to enhance customer experience and product performance.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

The Small Business Analyst drives growth in U100 markets by analyzing data, improving processes, advising sales, and supporting project management efforts in small business operations.

Manage a team of Data Analysts to provide actionable insights and dashboards for operational departments, overseeing business intelligence projects and collaborating with other teams to enhance data models.

Lead a team of data scientists to develop marketing mix and attribution models, providing insights on marketing performance and optimizing investments across products and channels.