Company Overview:

Boeing is a premier global aerospace company that designs, builds, and supports commercial airplanes, defense systems, and space technologies for clients in over 150 countries. As one of the United States’ leading exporters, Boeing partners with a worldwide network of suppliers to promote economic growth, drive sustainability initiatives, and contribute to positive community outcomes. Guided by its core values—safety, quality, and integrity—Boeing’s diverse workforce is dedicated to future-focused innovation and responsible leadership.

Job Description:

We are looking for a highly analytical and business-oriented Integrated Data Analyst and Ontology Developer to support our technical integration initiatives across engineering, manufacturing, supply chain, and quality functions. This role is more than traditional data analysis—it requires a forward-thinking technical integrator to design ontologies, build dashboards, and develop web applications that map and visualize relationships across diverse datasets. The objective is to create connected, reusable, and scalable data models and solutions that enhance enterprise-wide visibility and support smarter business decision-making.

Key Responsibilities:

Analyze and interpret complex datasets from engineering, manufacturing, supply chain, and quality domains to generate insights and provide actionable, data-driven recommendations.
Develop and implement ontologies that define data relationships and structure across varied data sources.
Serve as a liaison between data consumers and systems, integrating siloed information to create a comprehensive view of key business entities and events.
Design dashboards, reports, and predictive models to highlight performance metrics, uncover insights, and improve operational effectiveness.

Qualifications:

Bachelor’s degree in a technical or related field.
Minimum of 5 years of experience in data analysis within engineering, manufacturing, supply chain, or quality domains.
At least 5 years of experience in data modeling or ontology development, including conceptual, logical, and physical data structures.
Strong experience working with data in aerospace, defense, or production-focused environments.
Proven ability to translate complex business challenges into meaningful insights using data.
Proficiency with business intelligence tools such as Power BI, Tableau, or similar platforms.
Hands-on experience with SQL and Python.
Strong communication and collaboration skills with the ability to work across cross-functional and technical teams.

Preferred Qualifications:

Familiarity with systems such as Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), Enterprise Resource Planning (ERP), or Supply Chain Management (SCM).

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Systems and Data Analyst 4

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