Top Business Intelligence Jobs in Seattle, WA

Design and deliver reusable BI models, dashboards, SQL queries, and ETL pipelines on cloud platforms. Produce analytics, prototype GenAI/LLM features and prompt engineering solutions, integrate AI with BI tools, ensure data privacy/PII handling, collaborate with data scientists/engineers, and support agile delivery and automation.

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

Analyze business questions, build dashboards and reports, conduct impact analyses and simple deterministic models, collaborate with data engineers to augment datasets, develop documentation and low-code end-user applications, and present insights to stakeholders to support data-driven decisions.

Manage and optimize the ERP system while designing, developing, and deploying BI solutions. Build ETL pipelines, data models, and dashboards (Power BI/DAX), write complex SQL, ensure data integrity, support end-users, document requirements, and perform audits to enable data-driven decisions.

Lead cross-functional analytics to deliver insights and recommendations, build and maintain reports and dashboards, perform advanced SQL and quantitative analysis, and present executive-level findings to influence strategy and operational decisions. Drive report building and backend data construction using MicroStrategy and BI tools.

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.

Lead design and delivery of BI, dashboards, AI-driven analytics, and scalable data pipelines for Legal. Integrate and analyze enterprise data, identify trends and risks, partner with stakeholders to embed measurement, and present insights to influence strategy and operational efficiency.

Develop and maintain Power BI reports and dashboards from multiple data sources. Collaborate with product owners to gather requirements, create technical specs and wireframes, analyze large datasets, performance-tune reports, test and document dashboards, troubleshoot data quality issues, and lead demos. Design data models, pipelines, and automation; standardize calculations; support and refine reporting solutions; and manage related small projects and stakeholder communication.

Design, develop, and maintain Power BI semantic models, dashboards, paginated and SSRS reports. Build DAX, Power Query transformations, ETL processes (SSIS/Azure Data Factory), and semantic/tabular models. Engage stakeholders, perform testing/UAT, document solutions, tune performance, and support multiple client engagements in a consulting environment.

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.

Design, build, and enhance executive Power BI dashboards and scalable data models. Develop DAX, Power Query, optimized visuals, KPIs, templates, and governance while iterating with stakeholders to deliver role-based reporting and drill-through navigation.

Designs and develops BI solutions by analyzing large datasets, building and optimizing SQL queries, and creating data visualizations (Power BI/Tableau) to inform strategic decisions. Works independently on complex problems, influences departmental strategy, and supports healthcare-focused analytics.

The AWS BI Developer role requires expertise in AWS data services, BI development, data modeling, and relational databases.

The AWS BI Developer will work on AWS data services, BI development, data modeling, and ETL/ELT tools, requiring experience in relational databases.

The AWS BI Developer will work on AWS data services, BI development, data modeling, relational database systems, and ETL/ELT tools.

Lead design and delivery of end-to-end BI solutions and market-facing analytics tools. Define strategy and roadmaps, translate business needs into requirements, guide development and testing, oversee deployments, ensure data governance, and liaise with stakeholders to prioritize fixes and maintain documentation and compliance.

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.

Lead ownership of BI reporting infrastructure: build and standardize dashboards, extract insights from messy third‑party data, partner with marketing teams to drive performance optimization and deliver proactive retrospective analyses that influence business decisions.