Top Senior Business Intelligence Jobs in Seattle, WA

As a Business Intelligence Analyst, you will design scalable data tools, evaluate information for decision-making, and automate solutions to improve processes.

The SQL BI Developer will design and implement customer solutions, focusing on SQL programming, data mining, analysis, Excel presentations, and report development.

The SQL BI Developer is responsible for designing and implementing customer solutions using SQL, Excel, Power BI, and similar technologies, focusing on data mining, analysis, and report development.

The BI Analyst will design and implement customer solutions, analyze large data sets, optimize SQL scripts, and create reports using Excel and other tools.

The BI Analyst will design and implement customer solutions, handle large data transformations, and perform data analysis using SQL and Excel.

The BI Analyst will design, implement, and deliver customer solutions, handling complex data sets, optimizing SQL scripts, and providing insights through analysis and reporting.

The Business Intelligence Analyst III will enhance data accessibility and literacy within Commercial Operations by leading data modeling, reporting, and training initiatives. This mid-level role requires collaboration with technical teams and stakeholders to drive data-driven decision-making.

The Director of BI & Analytics will lead data architecture, build a data lake, manage ELT/ETL pipelines, and develop enterprise reporting and models, partnering across functions to drive commercial analytics and insights.

The AVP, Business Intelligence Analyst - Sales/CSM develops analytics and dashboards for sales and customer service, translating Hubspot data into actionable insights while ensuring BI governance compliance.

The Sr. BI Engineer will oversee the data lifecycle, architect data pipelines, ensure data governance, and partner with stakeholders for analytics, using SQL, Snowflake, Python, and Tableau.

The Associate Director will manage a team of analysts, develop reporting tools, engage with LLM technologies, and collaborate across departments to enhance operational performance and data insights.