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Mid-Level Business Intelligence AnalystThe Boeing Company • Seattle, Washington, United States
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Mid-Level Business Intelligence Analyst

The Boeing Company
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

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.
The Boeing Company is currently seeking a Mid-Level Business Intelligence Analyst to join the team in Seattle, WA; Berkeley, MO; Hazelwood, MO; or Dallas, TX.
Partners in the design of Business Intelligence information models, dashboards, metrics and reports using standard technologies and methodologies that meet business objectives. Combines SQL, Business Intelligence (BI) best practices, cloud data engineering awareness, and domain knowledge to deliver efficient and scalable BI solutions that improve productivity and business outcomes. This role is primarily a BI Analyst role but requires practical familiarity with Generative Artificial Intelligence (GenAI) and prompt engineering techniques to accelerate analytics, automate workflows, and prototype Large Language Model (LLM)-enabled features.
Position Responsibilities
Design reusable BI information models, views, dashboards, metrics and reports that meet business needs across supply chain and related functions
Translate business requirements into technical designs, user stories and acceptance criteria; validate delivered solutions with stakeholders
Build, optimize and maintain SQL (Redshift/Oracle/Teradata/SQL Server) queries, Extract Transfer Load (ETL)/data wrangling pipelines and data transformations for reliable reporting
Produce analytics deliverables (ad-hoc analysis, trend reports, root-cause investigations) to support decision-making
Prototype and evaluate GenAI/LLM use cases to augment BI workflows (e.g., natural-language querying, automated data summarization, intelligent insights generation, prompt templates for analysts)
Apply prompt engineering best practices: design, test, and optimize prompts and chains for consistent, accurate outputs; document prompt libraries and guardrails
Integrate LLM/GenAI capabilities with BI tools or data platforms where appropriate (e.g., Application Programming Interfaces (APIs), wrappers, microservices) in collaboration with engineers and data scientists
Ensure responsible use of GenAI: implement data privacy, Personally Identifiable Information (PII) handling, output validation, and model risk mitigation practices
Collaborate with data scientists, Machine Learning (ML) engineers, and platform teams on productionizing Artificial Intelligence (AI)-enabled features and understanding model performance and limitations
Develop and deliver stakeholder-facing demos, playbooks, and training materials that show how GenAI augments BI workflows
Work with cloud data platforms (Google Cloud Platform (GCP) and Amazon Web Services (AWS)) to design, develop, and maintain data products — including data ingestion, storage, transformation, and serving layers
Build and validate data products on cloud platforms (BigQuery, Cloud Storage, Dataflow, AWS S3, Redshift, Glue, etc.) and collaborate with platform/engineering teams on deploying them to production
Participate in agile delivery: sprint planning, estimation, development, testing and release activities
Identify opportunities to improve automation, reduce analyst toil, and scale analysis via templated assets and self-service
Basic Qualifications (Required Skills/Experience)
5+ years of experience in Business Intelligence, Analytics, or Data Engineering roles
Experience with SQL and relational databases (Oracle, Teradata, SQL Server)
Experience working with cloud platforms (GCP and/or AWS)
Experience with core data services (storage, ETL/streaming, warehouses, serverless computing)
Experience building data products on cloud platforms (ingestion, transformation, cataloging, serving)
Experience with BI/visualization tools such as Tableau and/or Power BI and ability to design scalable dashboards and data models
Experience with Python and/or R for data preparation, analysis, and/or prototyping
Experience with data modeling, ETL patterns, data quality practices, and common BI architecture
Experience with Agile, DevOps and release methodologies
Preferred Qualifications (Desired Skills/Experience)
Master’s degree in computer science, Information Systems, Data Science, Business Analytics, or related field
Experience with strong communication skills with the ability to translate business problems into analytics solutions
Experience working in supply chain, manufacturing, and/or aerospace domains
Experience with GenAI/LLM tools and APIs (e.g., OpenAI, Anthropic, Azure OpenAI, or on‑prem alternatives) and prompt engineering for analytics use cases
Experience building and/or integrating LLM-powered features: natural-language-to-SQL, summary/explainability layers, intelligent alerting, and/or conversational analytics
Experience with model operationalization concepts (MLOps), versioning, monitoring, and latency/throughput tradeoffs
Experience with secure and compliant handling of data when using LLMs, including PII redaction techniques and enterprise governance practices
Experience with automation frameworks, orchestration (Airflow, Prefect), and/or microservice APIs for embedding GenAI into workflows
Experience prototyping production-ready PoCs that demonstrate measurable business value from GenAI and/or ML enhancements
Experience with scripting and tooling for prompt testing, evaluation metrics, and prompt libraries
Experience with cloud-native managed services on GCP and AWS for data products (e.g., BigQuery, Dataflow, Dataproc, Cloud Composer, S3, Redshift, Glue, Lambda)
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.
Pay & Benefits 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: $105,400 - $152,950
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 This position offers relocation based on candidate eligibility.
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.
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  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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