Costing Data Analyst
Core
Define and maintain global costing references, manage hourly rate structures, and develop analytical models to identify patterns in costing data for Airbus's overhead functions.
Role type
Senior Costing Data Analyst (Data Hub Strategy)
Builds
Structured, high-quality costing data inputs for the Costing 'Data Hub' and 'Data Lake' strategy.
Domain
Aerospace manufacturing cost engineering and data governance.
Deliverable
production ML models | dashboards & analysis
Required skills
Data modeling, Python, SQL, QlikSense, Jupyter, AI expertise, costing methodologies, manufacturing process understanding, cross-disciplinary synthesis, community/project management.
Preferred skills
Architect attitude, entrepreneurial mindset, coaching ability.
Technologies
Python, SQL, QlikSense, Jupyter
Responsibilities
Define and maintain standard costing references; collect and curate costing references from global sources; manage hourly rate structures and escalation rules; communicate updates to the costing community; develop and implement analytical models for costing data; ensure data compliance with internal guidelines; contribute to Data Hub and Data Lake automation strategies.
Seniority
Professional, hands-on IC with leadership influence.