Top Data Analyst Jobs in Seattle, WA

The Product Data Analyst will analyze user behavior, measure product performance, and generate actionable insights using SQL and data visualization tools to support product-driven decisions.

The Principal Data Analyst will drive insights for Credit/Risk and Capital Markets, optimizing lending decisions and portfolio strategies using data analysis, dashboard creation, and statistical methods.

Analyze data and create visualizations to drive business decisions, collaborating with team members and stakeholders to provide actionable insights.

The Senior FP&A Data Analyst will manage data integration, drive analytical insights, build dashboards, and support financial strategies across the organization.

The Data Analyst will monitor, analyze payment flows, develop anti-fraud rules, create dashboards, and improve data systems in the Payments domain.

Data Analyst role involves partnering across teams to develop analytical solutions, building dashboards, and managing analytics projects end-to-end, with 7+ years of experience required.

The Senior Claims Data Analyst enhances claims operations through advanced analytics, develops reports and dashboards, identifies process improvements, and ensures data integrity to drive strategic decisions.

The Data Analyst will analyze and transform complex datasets into actionable insights, supporting federal healthcare decision-making and ensuring data quality.

As a Product Data Analyst II, you will partner with product squads to design experiments, analyze data, and provide actionable insights to influence product decisions.

The Financial Data Analyst will provide complex financial analyses, conduct fraud detection analyses, develop data pipelines, and offer training to team members.

The Yield and Data Analyst will lead yield strategy, performance analysis, and operational improvements across media channels. Responsibilities include yield analysis, dashboard development, collaboration with Product and Engineering, and supporting pricing strategy.

The Operations Enablement Analyst will analyze operations performance, identify improvement opportunities, and document standard operating procedures to enhance operational efficiency in data center environments.

The Senior Product Data Scientist will lead product analytics and experimentation to drive user growth, engagement, and revenue by leveraging data insights and A/B testing.

The Data Analyst will manage SaaS implementation, solve client issues, conduct analyses, and train clients on using the Merchant Central platform.

The role involves conducting data analyses for PBM clients, creating insights, and supporting strategic decisions to optimize services. It includes mentoring junior analysts and presenting complex data findings effectively.

The Data Analyst will analyze caller behavior data, design Tableau reports, and provide insights to improve customer experience in IVR applications.

Analyze large financial datasets, extract insights, and support client reporting. Collaborate with engineering on product solutions in structured finance.

The Cybersecurity Data Analyst supports cybersecurity assessments by analyzing large datasets, developing Splunk queries, and providing actionable insights to improve cybersecurity posture.

The Business Analyst will ensure quality data use across platforms, deliver insights for customer engagement, and standardize reporting practices.

The Data Analyst I at Acorns will analyze data, optimize customer journeys, and collaborate with teams to provide actionable insights for product improvement.

The Financial Analyst Lead will enhance financial reporting, create forecasting models, automate workflows, and provide strategic insights through data analysis.

The Junior Yield Data Analyst monitors and analyzes yield performance, extracts bidstream data, develops reporting tools, and provides actionable insights to enhance monetization strategies for publisher partners.

The Senior People Data Analyst will enhance people analytics, manage Workday implementation, provide insights, and create dashboards for decision-making.

As a Data Analyst, you will build dbt models in Redshift, maintain data pipelines, and provide insights to enhance customer decisions while collaborating with internal teams.

The Processing Data Analyst will enhance the Human-In-The-Loop workflows, ensure data accuracy, manage ticket queues, and collaborate with teams to improve operations.