Business Data Analyst - Ops & Supply Chain (Toulouse)

Airbus SE; Blagnac; Sur place; EUR 55 000 - 85 000; Plein temps

Résumé du poste

Airbus SAS in Toulouse, France, is looking for a Business Data Analyst to join the Operations Excellence Improvement Projects (OEPI) team. You will build and enrich core datasets and deliver targeted analytics to maximize operational performance and de-risk the supply chain.

The role requires hands-on experience in business data analytics and project deployments, with knowledge of Skywise, BOM structures and SAP.

Qualifications

• Hands-on experience in business data analytics and/or project deployments.
• Ability to structure and integrate complex data within big data architectures; Skywise experience is a plus.
• Understanding of PLM ecosystems (BOM structures) and manufacturing environments (SAP).
• Proven track record coordinating project contributors or subcontractors.
• Professional working proficiency in English within an agile, transnational organization.

Responsabilités

• Build and enrich core datasets in line with the product roadmap.
• Capture business requirements and translate operational bottlenecks into robust data analytics solutions.
• Conduct end-to-end data scans, assessing data quality, schema structures, and ingestion requirements.
• Deliver concrete analytics to reduce costs, de-risk supply chain operations, and improve operational readiness.
• Establish continuous feedback loops to integrate lessons learned and scale data assets across programs.

Connaissances

Business data analytics

Project management

Cross-functional deployments

English proficiency

Outils

Skywise

SAP

Description du poste

Airbus SAS in Toulouse, France, is looking for a Business Data Analyst to join the Operations Excellence Improvement Projects (OEPI) team. You will build and enrich core datasets and deliver targeted analytics to maximize operational performance and de-risk the supply chain.

The role requires hands-on experience in business data analytics and project deployments, with knowledge of Skywise, BOM structures and SAP.