Job Description:

We are looking for a ​Cost Engineer Data Manager to join our team.

Responsibilities - your mission

Costing is a key enabler for Airbus to offer the most competitive aircraft for new developments, optimizations and services. On the basis of technical and financial expertise combined with empowerment and team work, the team works as a consultant and business partner to bring cost awareness and actionable scenarios across the E2E business cycle, thereby enabling balanced decisions and supplier negotiations with a high degree of confidence.

Our team

• Helps decide corporate product and process strategies as they are formulated

• Is involved early in all new aircraft / product developments

• Is a key player in achieving competitive pricing agreements with cabin suppliers

• Liaises with all levels of management in Airbus 

Currently, the Costing Team is undergoing a major transformation enabled by digitalization and data management which is having a significant impact in the relationship with our customers (more business partnering and enabling), our methods and tools (cost modelling, references, digital tools) and our people skills and competences.

Tasks & accountabilities

As a Costing Data Manager - you will develop data management principles. This includes definition of process, capturing current issues and developing new solutions. 

For example, data might include technical parameters of manufactured parts or equipment and associated cost elements.

You will contribute to the following main activities:

Data Management

• Collect and interpret data, analyze results

• Proactive guidance towards business on how to structure data

• Define new data collection processes

• Report the results back to the relevant members of the business

• Identify patterns and trends in data sets

• Work alongside teams within the business or the management team to establish business needs

• Deploy and develop new practices in data management to improve the performance of the costing teams.

• Support the experts’ needs by providing methods and tools.

• Develop solutions, based on data structuring to guide engineering on cost awareness and predictive costing 

Requirements - our ideal candidate will have

• Educated to degree level (or equivalent) in Data Analytics or a related discipline

• Interested in data, curious about how to help others understanding what you do

• Data analysis skills

• Mathematics, Statistics, Economics knowledge

• Computer Science (Python, Jupyter, SQL/SQL Server, Qliksense…)

• Ability to analyze large datasets

• Team player with entrepreneurial mindset

• Good communication and presentation skills at all levels

• Strong ability to interact and Influence

• Basic experience in project management

• Language Skills: Negotiation level of English

• Knowledge on manufacturing process will be a plus

Benefits - what’s in it for you

•  Diverse career opportunities within Airbus European core countries or in other regions around the world.  

• A hybrid working model, allowing you to combine onsite and offsite work. 

• A modern office, well connected to public transportation.

• A motivated and fun crew to grow and build and shape the GBS together.

• An intense and exciting onboarding experience.  

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.

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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&64;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.