Mid-Level Business Intelligence Analyst

Company:

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

BasicQualifications (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):

• Masters 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:

Boeingis 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: $105400 - $152950

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

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