Associate Business Intelligence Analyst
Listed on 2026-01-12
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
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Job DescriptionAt 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.
The Boeing Company is looking for an Associate Business Intelligence Analyst to join the team in Seattle, WA;
Renton, WA;
Dallas, TX;
Hazelwood, MO; or Berkeley, MO.
The selected candidate will join the Enterprise Artificial Intelligence & Data (EAID) organization’s Supply Chain product family, playing a critical role in transforming data into actionable insights that drive business decisions.
You will partner with cross‑functional teams to design and implement Business Intelligence (BI) information models, dashboards, metrics, and reports that align with our strategic objectives. Your expertise in data analysis, SQL, R, Python programming, and industry best practices will be essential in delivering scalable BI solutions that enhance productivity and optimize supply‑chain operations.
Position Responsibilities- Collaborate with stakeholders to gather requirements and design BI information models, dashboards, and reports that meet business needs.
- Utilize standard technologies and methodologies to ensure consistency and quality.
- Analyze complex data sets using R or Python to identify trends, patterns, and insights that inform business strategies.
- Provide actionable recommendations based on data findings.
- Write and optimize SQL queries to extract, manipulate, and analyze data from various sources.
- Ensure data integrity and accuracy in reporting.
- Develop interactive dashboards using BI tools (e.g., Tableau, Power BI) that provide real‑time visibility into Key Performance Indicators (KPIs) and operational metrics.
- Establish and monitor performance metrics to assess the effectiveness of supply‑chain processes.
- Identify areas for improvement and implement solutions to enhance efficiency.
- Work closely with Information Technology (IT), data engineering, and business teams to ensure seamless integration of BI solutions into existing systems and processes.
- Create comprehensive documentation for BI solutions, including user guides and technical specifications.
- Provide training and support to end‑users to maximize the adoption of BI tools.
- Stay current with industry trends, best practices, and emerging technologies in Business Intelligence and supply‑chain analytics.
- Propose innovative solutions to enhance BI capabilities.
- 1+ years of Supply Chain Business Intelligence experience.
- 1+ years of experience in SQL/T‑SQL.
- 1+ years of experience in designing/building visualizations within Tableau.
- 1+ years of experience with database design, data modeling, or object modeling.
- Bachelor's degree or higher.
- 2+ years of experience with Supply Chain.
- 3+ years of experience with Database and SQL queries.
- Experience developing analytic solutions in R or Python.
- Experience working and communicating with cross‑functional teams.
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.
Pay & BenefitsAt 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…
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