Overview
On Site
Full Time
Skills
Data Analysis
Web Applications
Ontologies
Dashboard
Operational Efficiency
Manufacturing
Data Modeling
Ontology Engineering
Data Structure
Aerospace
Microsoft Power BI
Tableau
SQL
Python
Analytical Skill
Communication
Collaboration
Manufacturing Execution System
MES
Product Lifecycle Management
Plant Lifecycle Management
Enterprise Resource Planning
Supply Chain Management
Job Details
This posting is for a contract assignment and is not a full-time employment offer with Boeing. Candidates selected for roles will be employed as contract workers through a Boeing approved 3rd party for the duration of the specified project.
We are seeking a highly analytical and business focused Integrated Data Analyst and Ontology Developer to support our technical integration team across engineering, manufacturing, supply chain, and quality domains. This role goes beyond the traditional data analysis - this individual will serve as a technical integrator, responsible for building ontologies, dashboards, and web applications that define and visualize relationships across complete and disparate datasets. The goal is to enable connect, reuseable and scalable data models and applications that drive smarter business decisions and greater visibility across the enterprise.
Responsibilities
Analyze and interpret large datasets related to engineering, manufacturing, supply chain, and quality to extract insights and provide-data driven recommendations that support business outcomes
Define ontologies that structure and define relationships between datasets
Act as a bridge between data consumers and data systems, integrating information from siloed data sources to create a unified view of key business entities and events
Create dashboard, reports, and models that surface meaningful metrics, enable predictive insights, and improve operational efficiency
Job Requirements
Bachelor's Degree in a technical field
5+ years of experience analyzing data in one or more of the following domains: engineering, manufacturing, supply chain, or quality
5+ years of experience working in data modeling or ontology development skilled in designing conceptual, logical, and physical data models to accurately represent data structures
Strong background working with data in aerospace, defense, or production environments
Demonstrated experience turning complex business problems into actionable insights using data
Experience with Power BI, Tableau, or similar platforms
Experience with SQL and Python
Strong analytical and communication skills with the ability to work across functional and technical teams
Preferred Skills
Familiarity with the Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), Enterprise Resource Planning (ERP) systems, or Supply Chain Management (SCM) systems
We are seeking a highly analytical and business focused Integrated Data Analyst and Ontology Developer to support our technical integration team across engineering, manufacturing, supply chain, and quality domains. This role goes beyond the traditional data analysis - this individual will serve as a technical integrator, responsible for building ontologies, dashboards, and web applications that define and visualize relationships across complete and disparate datasets. The goal is to enable connect, reuseable and scalable data models and applications that drive smarter business decisions and greater visibility across the enterprise.
Responsibilities
Analyze and interpret large datasets related to engineering, manufacturing, supply chain, and quality to extract insights and provide-data driven recommendations that support business outcomes
Define ontologies that structure and define relationships between datasets
Act as a bridge between data consumers and data systems, integrating information from siloed data sources to create a unified view of key business entities and events
Create dashboard, reports, and models that surface meaningful metrics, enable predictive insights, and improve operational efficiency
Job Requirements
Bachelor's Degree in a technical field
5+ years of experience analyzing data in one or more of the following domains: engineering, manufacturing, supply chain, or quality
5+ years of experience working in data modeling or ontology development skilled in designing conceptual, logical, and physical data models to accurately represent data structures
Strong background working with data in aerospace, defense, or production environments
Demonstrated experience turning complex business problems into actionable insights using data
Experience with Power BI, Tableau, or similar platforms
Experience with SQL and Python
Strong analytical and communication skills with the ability to work across functional and technical teams
Preferred Skills
Familiarity with the Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), Enterprise Resource Planning (ERP) systems, or Supply Chain Management (SCM) systems
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.