Business Data Analyst H/F

Job Description:

Airbus Commercial Aircraft is looking for a Business Data Analyst (f/m) to join our Operations Excellence Improvement Projects department (OEPI) based in Toulouse, France.

You will be part of a team developing a single harmonized repository creating business value across part numbers and Bill of Materials. As part of the team, you will be involved in building core datasets and delivering targeted analytics aiming at maximizing operational performance and supply chain derisking.

Your working environment:

Global capital of aeronautics and European capital for space research, Toulouse is a dynamic city in the southwest of France served by an international airport. Ideally located between the Mediterranean sea and the Atlantic ocean and close to the Pyrenees mountains, it offers plenty of options for outdoor activities!

How we care for you:

• Financial rewards: Attractive salary, agreements on success and profit sharing schemes, employee savings plan abounded by Airbus and employee stock purchase plan on a voluntary basis.
• Work / Life Balance: Extra days-off for special occasions, holiday transfer option, a Staff council offering many social, cultural and sport activities and other services.
• Wellbeing / Health: Complementary health insurance coverage (disability, invalidity, death). Depending on the site: health services center, concierge services, gym, carpooling application.
• Individual development: Great upskilling opportunities and development prospects with unlimited access to +10.000 e-learning courses to develop your employability, certifications, expert career path, accelerated development programmes, national and international mobility.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Your challenges:

• 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.

Your boarding pass:

• Proven hands-on experience in business data analytics, project management (e.g., LBIP+), or cross-functional digital deployments.
• Demonstrated ability to structure, assess quality, and integrate complex data within big data architectures (Skywise experience is a plus).
• Practical understanding of engineering PLM ecosystems (BOM structures) and/or manufacturing environments (SAP).
• Proven track record in solving business problems and coordinating project contributors or subcontractors.
• Professional working proficiency in English within an agile, transnational organization.

Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.

Take your career to a new level and apply online now!

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This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

AIRBUS SAS

Employment Type:

Permanent

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Classe Emploi (France): Classe F12

Experience Level:

Professional

Job Family:

Digital <JF-IM-DI>

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.