Top Business Intelligence Jobs in Seattle, WA

Develop BI models, dashboards, KPIs and ETL pipelines; clean and analyze engineering data with SQL and coding; build descriptive, predictive, and prescriptive analytics; collaborate with stakeholders to define requirements, train users, and support data-driven decision making.

Develop BI models, dashboards, ETL pipelines and analytics (descriptive through prescriptive) to support program performance visibility. Clean and preprocess data, identify KPIs, collaborate with stakeholders, train users, and support data-driven decision making for engineering and business teams.

Build scalable BI solutions for Procurement, Real Estate & Facilities: design data models, ETL/ELT pipelines, automated reporting, dashboards, forecasting, and analytics to support sourcing, supplier performance, and operational decisions.

Lead and build the Finance Business Intelligence function: set strategy, hire and grow a multidisciplinary data team, evolve reporting into predictive and AI-augmented analytics, govern finance data and metrics, partner with Finance leadership, and select the finance data stack and tools to deliver scalable, auditable, and trustworthy analytics and forecasting.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

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 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.

Design, develop, and deploy Power BI reports, dashboards, and data models. Integrate and transform data, optimize report performance, analyze trends, and present insights. Collaborate with clients and cross-functional teams, provide Power BI technical support, and share best practices and training.

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.

The BI Developer is responsible for developing reports and dashboards using Power BI and SQL, gathering reporting requirements, and optimizing T-SQL code.

The Business Intelligence Solution Architect translates data needs into technical solutions, drives data integration strategy, and supports business intelligence applications and data literacy initiatives.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

Design, develop, and troubleshoot SAP reporting solutions, data marts, OLAP and dashboards. Translate business needs into BI solutions, follow data management processes, analyze trends, collaborate on database and architecture design, and evaluate future data delivery tools.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Lead BI analytics and governance for client accounts: manage BI analysts, deliver dashboards and reports, oversee data mapping, modeling, quality, and platform initiatives (Power BI/Databricks), advise stakeholders, drive analytics roadmap, and apply advanced analytics and ML to optimize workplace and portfolio insights.

Lead development and delivery of enterprise BI strategy: gather requirements, build dashboards and t‑SQL queries, partner with data engineering, mentor BI staff, and manage BI lifecycle to provide insights across the organization.

Lead BI and data for a large real estate account: design and deliver Power BI dashboards, data governance, integrations, SharePoint and automation solutions, build analytics roadmap, translate data into executive insights, drive process improvement, and lead a technical analytics team.