Job Description:
An opportunity for a Data Analyst & Problem Solver Specialist has arisen within Airbus Operations, Illescas (Toledo).
The selected candidate will join the Industrial & Plant Operations Team to bridge the gap between complex datasets and strategic business decisions. In this role, you will investigate operational and strategic issues, perform root-cause analysis, and recommend actionable solutions. You will play a key role in driving the predictive plant strategy through AI tools and data analytics while serving as an Export Control focal point (EPoC) for the plant.
RESPONSIBILITIES
- Drive Data Analytics & AI Initiatives: Collect, clean, and analyze complex industrial datasets to develop predictive digital tools, automate data pipelines, and build monitoring dashboards for key plant KPIs.
- Lead Advanced Problem Solving: Investigate complex shopfloor issues using 9S/8D and advanced methodologies, identifying root causes, implementing containment/corrective actions, and tracking ROI for plant management.
- Promote Export Control Compliance (EPoC): Act as the primary local point of contact for export control compliance, providing elementary guidance, escalating potential breaches, and supporting Export Control Officers.
- Mentor & Stakeholder Management: Guide the industrial community in data analytics best practices, supervise subcontracting team deliverables, and influence key stakeholders through data-driven evidence.
- Process Optimization & Recurrence Prevention: Implement SPC analysis, data-driven tolerances, and optimized process windows to prevent issue recurrence and establish robust preventive mechanisms.
SKILLS
Is your profile aligned to the following list of skills? Apply! We are looking forward to knowing you:
- Education: University degree in Engineering (Industrial, Aeronautical, Computer Science), Data Science, Statistics, or a related technical discipline.
- Experience: Proven experience in industrial environments applying data analysis, root-cause investigation, and advanced problem-solving methodologies on the shopfloor.
- Technical Knowledge: Advanced skills in Data Analytics (Python/Pandas, Machine Learning, Data Visualization) and practical working knowledge of Generative AI tools and concepts.
- Methodologies: Strong background in statistical process control, Pareto principle, structured problem solving (8D/9S), and project management.
- Soft Skills: Exceptional critical thinking, solution-oriented mindset, strong written/verbal communication, high attention to detail, and ability to influence/facilitate cross-functional teams.
- Languages: Advanced level in English and Spanish.
- Valuable / Nice to Have: Shainin Certification (Apprentice minimum), Google Advanced Data Analytics Capstone, or prior exposure to Export Control / Compliance processes.
WHICH BENEFITS WILL YOU HAVE AS AIRBUS EMPLOYEE?
At Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits:
- Vacation days plus additional days-off along the year.
- Attractive salary.
- Hybrid model of working when possible.
- Collective transport service subject to working calendar/home location.
- Benefits such as life insurance, health insurance, employee stock options, retirement plan, or study grants.
- On-site facilities (among others): free canteen, kindergarten, medical office.
- Possibility to collaborate in different social and corporate social responsibility initiatives.
- Excellent upskilling opportunities and great development prospects in a multicultural environment.
- Option to access special rates in products & benefits.
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 Operations SLEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob Family:
Manufacturing EngineeringBy submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
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 [email protected].
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.
Skills Required
- University degree in Industrial Engineering, Aeronautical Engineering, Computer Science, Data Science, Statistics, or a related technical discipline
- Proven experience in industrial environments applying data analysis, root-cause investigation, and advanced problem-solving methodologies on the shopfloor
- Advanced skills in data analytics, including Python, Pandas, machine learning, and data visualization
- Practical working knowledge of generative AI tools and concepts
- Strong background in statistical process control, Pareto analysis, and structured problem-solving methodologies such as 8D and 9S
- Project management experience
- Critical thinking, solution-oriented mindset, strong communication, attention to detail, and ability to facilitate cross-functional teams
- Advanced English and Spanish language skills
- Shainin Certification at Apprentice level or higher
- Google Advanced Data Analytics Capstone
- Prior exposure to export control or compliance processes
Airbus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbus and has not been reviewed or approved by Airbus.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive in several locations, including medical, dental, and vision options available from day one in the U.S. Access to life insurance, disability coverage, and employee assistance/wellbeing support adds breadth to the health offering.
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Retirement Support — Retirement support is framed as a meaningful part of the package through plans such as a 401(k) with company matching in the U.S. These programs strengthen long-term financial security beyond base wages.
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Leave & Time Off Breadth — Time-off provisions are described as generous in some settings, including vacation availability from day one and extended holiday coverage. Flexible working arrangements and hybrid options further increase the perceived value of time-related benefits.
Airbus Insights
What We Do
Airbus is a global leader in aeronautics, space and related services. In 2020, it generated revenues of €49.9 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Airbus is an international pioneer in the aerospace industry and a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. We believe that it’s not just what we make, but how we make it that counts; promoting responsible, sustainable and inclusive business practices and acting with integrity. Our people work with passion and determination to make the world a more connected, safer and smarter place, on the ground, in the sky and in space.
