Top Business Intelligence Jobs in Seattle, WA

The Analytics Lead will analyze products, develop strategies based on quantitative data, collaborate with cross-functional teams, and design A/B tests to enhance user experience and drive product growth.

The Director of Analytics leads a data-driven decision-making team, collaborating across departments to generate insights and strategies, manage data scientists, and communicate results effectively.

The Business Analyst will analyze business systems, gather user requirements, document processes, and collaborate with teams to enhance freight visibility solutions.

The Business Intelligence Data Analyst will analyze data, build reports, and support Customer Success initiatives using SQL and BI tools.

The Pigment Systems Administrator will manage the Pigment platform, support financial planning, data integration, dashboard creation, and process improvement, collaborating with cross-functional teams.

Lead a team of analysts, manage analytics product development, ensure data quality, build self-serve dashboards, and partner with cross-functional teams.

The Business Analysis Manager will lead marketing measurement transformation through data analysis, collaborating with teams to optimize media strategy and develop insights for decision-making.

The Sr Business Analysis Manager analyzes quantitative and qualitative data to guide strategic decisions, create dashboards, and collaborate with cross-functional teams.

The Manager of Business Intelligence at T-Mobile leads data analysis efforts, enhancing business solutions through reporting and data visualization, while fostering team collaboration.

Analysts assist in wealth planning by conducting analytics, interpreting data, and supporting advisors in investment recommendations, while also presenting findings to clients.

The Business Analyst II will gather requirements, optimize finance/accounting operations in NetSuite ERP, collaborate with stakeholders, and support financial processes.

The role involves transforming data into insights, collaborating with stakeholders, creating visualizations, and implementing data-driven solutions in a team-oriented environment.