The Innovation Team acts as an internal incubator for disruptive technologies, applying Advanced Analytics, Machine Learning, and Deep Tech to solve critical aerospace challenges
Job Summary
The Innovation Team acts as an internal incubator for disruptive technologies, applying Advanced Analytics, Machine Learning, and Deep Tech to solve critical aerospace challenges.
The Data Analyst will be the bridge between raw engineering data and production-ready AI products, analyzing complex aerospace datasets to drive the development, validation, and deployment of AI-driven solutions.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment, fostering flexible working arrangements to stimulate innovative thinking.
Matching Summary
The Innovation Team acts as an internal incubator for disruptive technologies, applying Advanced Analytics, Machine Learning, and Deep Tech to solve critical aerospace challenges.
Skills & Requirements
Must-have
Advanced Analytics
Machine Learning
Deep Tech
Data Cleaning and Preparation
Statistical and analytical techniques
Data Visualization
Reporting and Presentation
SQL and querying relational databases
Python or R
Tableau, Power BI, or similar platforms
Statistical concepts
Quality Management System (QMS)
Nice-to-have
Internal incubator for disruptive technologies
Bridge between raw engineering data
Drive the development, validation, and deployment
Communicate complex ideas in a simple way
Coach the function in the data-driven mind-set
Collaborative mindset
Self-starter
Emerging data technologies
Key Requirements
Bachelor’s degree in a quantitative technical field
3+ years of professional experience
Expert proficiency in SQL
Strong command of Python or R
Proven experience building high-impact dashboards
Experience with terminal-based AI tools
Working knowledge of agentic frameworks
Solid understanding of statistical concepts
Demonstrated ability to work within a Quality Management System (QMS)
High degree of accuracy
Ability to translate raw numbers into actionable recommendations