Practical Problem Solver, Data & Analytics Specialist

Prestwick Aerosystems; Illescas; Híbrido; EUR 45.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Life insurance and health coverage

Employee stock options / retirement

Descripción de la vacante

Airbus Operations SL in Illescas seeks a Data Analyst & Problem Solver Specialist to bridge complex datasets and strategic decisions on the shop floor. You will investigate issues, perform root‑cause analysis, and drive predictive plant strategy using AI tools.

The role requires strong analytics, engineering background, and fluency in English and Spanish, with a hybrid working model and growth opportunities in a multicultural environment.

Formación

• University degree in Engineering, Data Science, Statistics, or related technical field.
• Experience applying data analysis and root‑cause investigation on shopfloor.
• Proficiency in Python, Pandas, ML, and data visualization.
• Knowledge of SPC, Pareto, structured problem solving (8D/9S).
• Strong written and spoken communication; ability to influence cross‑functional teams.
• Advanced English and Spanish language skills.

Responsabilidades

• Drive Data Analytics & AI initiatives: collect, clean, analyze, build predictive tools, automate pipelines, and dashboards for KPIs.
• Lead Advanced Problem Solving using 9S/8D and root-cause analysis, implement containment/corrective actions, track ROI.
• Promote Export Control Compliance (EPoC) as local point of contact and guide compliance efforts.
• Mentor industrial teams in data analytics, supervise subcontracting deliverables, influence stakeholders with data-driven evidence.
• Implement SPC analysis and data-driven tolerances to prevent recurrence and establish preventive mechanisms.

Conocimientos

Python/Pandas

Machine Learning

Data Visualization

Generative AI

8D/9S problem solving

SPC

Stakeholder management

English

Spanish

Educación

Engineering degree (Industrial, Aeronautical, Computer Science)

Data Science / Statistics background

Herramientas

Python

Pandas

Generative AI tools

Descripción del empleo

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

• 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.

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.

Company: Airbus Operations SL Employment Type: Permanent Experience Level: Professional Job Family: Manufacturing Engineering

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.

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.