Experienced Business Intelligence Developer

Boeing•Tukwila, WA

23h•Onsite

About The Position

The Boeing Company is currently seeking an Experienced Business Intelligence (BI) Developer to join the Finance Systems and Analytics (FS&A) team in Tukwila, WA. The selected candidate will design, develop, and maintain advanced analytics solutions that deliver step-function business improvement. As the Data Visualization Subject Matter Expert (SME) on the Finance Analytics full‑stack Development team, you will partner with expert Data Engineers and Data Scientists to deliver analytics solutions across Finance. The ideal candidate will: Have 3+ years of hands‑on experience building analytics applications, dashboards, and data visualizations for business users Design, implement, and optimize interactive dashboards and self‑service analytics that surface actionable insights for Finance stakeholders Translate business requirements into intuitive User Interface (UI)/User Experience (UX), data models, and visualization patterns using tools such as React, R-Shiny, Tableau, or equivalent Build React front‑end components and analytical interfaces using web technologies and frameworks (e.g., JavaScript, TypeScript) Communicate analytical findings, tradeoffs, and UX decisions clearly to non‑technical stakeholders and leadership Integrate analytics apps with backend data services and Application Programming Interfaces (APIs), and collaborate with Data Engineers to ensure performance and secure data access Work effectively in collaborative analytics environments using modern engineering practices (code reviews, feature branches, agile delivery) and provide technical leadership across cross‑functional teams Possess domain knowledge in Finance (e.g., Earned Value Management (EVM), accounting, treasury, reconciliation, payments, Financial Planning and Analysis (FP&A)) or equivalent business‑facing experience to partner effectively with Finance SMEs

Requirements

Bachelor’s degree in Computer Science, Engineering, Business Information Systems, Business Administration, or closely related field, or equivalent experience
1+ years of experience with full-stack web development
1+ years of experience with Front End software languages, frameworks, and libraries (e.g., HTML5, JavaScript, REACT, and API integration, etc.)
Experience with SQL
Experience with front end web programming such as Angular or React
Experience with analytics and data visualization
Experience in API design and development
Experience with application DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Maven, Jenkins, and Artifactory
Experience with UX/UI designing

Nice To Haves

Master’s Degree or higher in a technical discipline or equivalent advanced experience
Experience with infrastructure as code and automation tools and CI/CD for data infrastructure
Experience with monitoring and observability for data systems (logging, metrics, alerting, lineage tools)
Experience with cloud platforms and managed analytics services (Amazon Web Services (AWS)/Google Cloud Platform (GCP)/Azure), and basic understanding of containerization or deployment pipelines
Experience with security, privacy, and governance for sensitive financial data, including access controls, encryption, and SOX/compliance requirements
Experience in Finance domain (EVM, accounting, treasury, reconciliation, payments, FP&A) or working closely with Finance SMEs
Ability to mentor and provide technical leadership across cross‑functional teams

Responsibilities

Design, develop, and maintain analytics applications, interactive dashboards, and embedded visualizations that support Finance decision‑making
Create reusable visualization components, templates, and style guides to ensure consistency and scalability across analytics products
Implement performant data queries, caching, and pagination strategies in conjunction with Data Engineers to optimize user experience
Build integrations with authentication, authorization, and export mechanisms to meet security and compliance needs
Instrument dashboards and apps with logging, usage metrics, and alerts to monitor adoption, performance, and data quality issues
Mentor peers on visualization best practices, accessibility, and effective storytelling with data
Collaborate closely with Data Engineering, Security, and Compliance to ensure analytics solutions meet scalability, reliability, and governance standards