Job Description
At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing Commercial Airplanes (BCA) Fabrication Division is seeking a Business Intelligence Analyst (Level 4) to support our Supply Chain Integration Core Team in Auburn, Washington.
Our Boeing Commercial Airplanes (BCA) Supply Chain Functional Excellence – Performance & Integration team focuses on a data-driven transformation of the organization by providing real-time insights for complex business problems and enhances and aides their decision-making process.
The selected candidate will partner with multiple business functions, understand data needs, and deliver high-impact dashboards, reports, process automations, or web applications. This role dominates end-to-end data workflows, from gathering requirements with stakeholders to designing robust data transformation pipelines and creating actionable BI dashboards. The ideal candidate thrives at the intersection of data engineering and business intelligence, enabling data-driven decisions across the organization.
Position Responsibilities:
Collaborate with business partners to gather data requirements, define KPIs, and translate business needs into technical data solutions
Design, build, and maintain scalable ETL/ELT pipelines to ingest and transform raw data into clean, reliable datasets for reporting
Develop and maintain dashboards, reports, and visualizations that communicate metrics, trends, and status updates using BI tools (e.g., Power BI, Tableau, IBM Cognos)
Contribute to the development of a comprehensive data warehouse supporting analytics and reporting for a complex ERP system
Design and optimize database schema, tables, indexes, and views for efficient data storage and retrieval
Monitor and improve data quality, resolve pipeline errors, and enforce governance and documentation standards
Support ongoing improvement of data processes and automation to reduce manual tasks and accelerate insights
Provide technical guidance to data analysts and support cross-functional teams in interpreting and utilizing dashboard results
Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives
Basic Qualifications (Required Skills/Experience):
5+ years of experience in data engineering, analytics engineering, or business intelligence roles building data pipelines and dashboards
5+ years of SQL proficiency: Demonstrated expertise in writing complex SQL queries and manipulating large datasets. Strong understanding of relational database concepts and experience with database management systems such as SQL Server, BigQuery, Oracle, and Teradata
5+ years of experience with data visualization tools (e.g. Tableau, RShiny, Power BI, Cognos)
3+ years of experience with ETL/ELT workflows and data transformation, including common tools or orchestration frameworks
2+ years of experience developing complex DAX formulas and queries in Power BI
Preferred Qualifications (Desired Skills/Experience):
Bachelor’s degree or higher in Computer Science or closely related field
Proven ability to work cross-functionally with business stakeholders to understand needs and deliver actionable data products
Demonstrated proficiency in data warehouse development, including the design, development, implementation, and monitoring of fact and dimension objects following Kimball dimensional modeling best practices
Familiarity with data transformation and semantic modeling tools (e.g., dbt)
Deep understanding of the DAX language and data modeling in Power BI
Direct experience in Aerospace business functions such as Supply Chain, Manufacturing, Engineering, Quality, etc.
Experience with programming/scripting languages (e.g., Python) for data manipulation and automation
Experience with ERP systems (Infor LN, SAP, Oracle EBS, etc.)
Experience in working with ambiguous requirements, asking the right questions to extract business needs from stakeholders and translate into logical and physical data models
Critical thinking, verbal and written communication skills
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Total Rewards:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range:
$128,350-$173,650
Applications for this position will be accepted until Mar. 20, 2026
Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift
Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
