Top Business Intelligence Jobs in Seattle, WA

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

The Director of Business Intelligence at Viral Nation will lead analytics strategy for a CPG organization, driving insights and growth opportunities across sales, marketing, and digital engagement. Responsibilities include building a high-performing team, developing predictive models, and optimizing measurement strategies to inform executive decisions.

Designs and implements data integration, data warehousing, analytics and reporting solutions using Microsoft BI technologies. Develops T-SQL, SSIS, SSAS, and SSRS artifacts, works with third-party cloud monitoring tools, participates in Agile Scrum, provides technical leadership, and ensures high-performance, scalable, reliable reporting and analytics solutions.

Design, develop and maintain Microsoft BI solutions including SSAS tabular and multidimensional models. Build and optimize cubes, write MDX/DAX, apply partitioning, security, and DW/BI design best practices. Collaborate on architecture reviews, custom visualizations, and global-delivery projects.

Design, develop, and maintain DW/BI solutions using Microsoft SQL Server and MSBI. Participate in architecture/design reviews, build ETL/ELT frameworks, create reports (Power BI desired), troubleshoot complex problems, and collaborate with global stakeholders throughout project lifecycles.

Develop and maintain DW/BI solutions using Microsoft SQL Server and MSBI. Design and implement ETL/ELT frameworks, perform architecture and design reviews, build reports (Power BI), troubleshoot complex issues, and collaborate with global stakeholders across project lifecycles.

Design, develop, and optimize BI systems including ETL, tabular cubes, and Power BI reports. Analyze performance bottlenecks, troubleshoot system failures, and contribute to process and project planning.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Design, build, and maintain enterprise Power BI dashboards and data models. Integrate multiple data sources, write DAX, ensure data quality and performance, support stakeholders with requirements, documentation, governance, and ad hoc analytics to enable operational and executive decision-making.

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 SQL BI Data Scientist requires expertise in SQL, data analysis, and big data handling using Cosmos to define trends, KPIs, and actionable insights.

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

The RevOps BI Architect designs and maintains BI platforms, creates dashboards, optimizes reporting performance, and ensures data clarity for revenue operations teams.

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

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Lead product analytics efforts to define KPIs, build measurement frameworks, analyze customer behavior, and generate insights that influence product and engineering decisions. Partner with Product, Engineering, and Data teams to design event tracking, run experiments, quantify opportunity sizes, and communicate recommendations through clear narratives and visualizations to drive product adoption, retention, and business outcomes.

Lead BI Developer owns reporting infrastructure end-to-end, building standardized, trusted dashboards and LookML models, analyzing messy third-party data, partnering with Yield/Paid Media/Account teams to deliver actionable performance marketing insights and retrospective analyses that drive business decisions.