Job Description:
An opportunity for a Data Analyst has arisen within Airbus Defence and Space, Getafe (Madrid).
The selected candidate will join our Data & Analytics Team, acting as a key interface between business functions, our data ecosystem, and requested solutions. The team is multidisciplinary and focused on driving a data-driven mindset across the organization. The jobholder will reinforce our capabilities in transforming large datasets into strategic assets, collaborating closely with various departments to understand their needs, deliver actionable insights, and ensure top-tier data governance in our complex defense and space programs.
RESPONSIBILITIESThe main tasks of the jobholder will be:
Perform end-to-end data processing, from gathering relevant data from various internal and external sources to cleaning and processing raw data to ensure the highest data quality.
Apply advanced statistical and analytical techniques to extract meaningful insights, draw accurate conclusions from data, and prevent biases in decision-making.
Design and deliver high-impact data visualizations, charts, and dashboards to communicate findings effectively through clear storytelling, while advising users on best practices.
Prepare and present comprehensive reports to share key insights with stakeholders and support informed, data-driven business decisions.
Manage and maintain analytical tools and software ecosystem for data analysis, ensuring data security, privacy, and full compliance with internal requirements and external regulations.
Foster a data-driven mindset by coaching business functions, collaborating with other teams, and actively sharing best practices and techniques with the wider Airbus data community.
Is your profile aligned to the following list of skills? Apply! We are looking forward to knowing you:
Education: Degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.
Experience: Proven experience in data analysis, data preparation, and working with complex datasets.
Technical knowledge:
Strong command of statistics and probability concepts (e.g., hypothesis testing, Monte Carlo simulations, expected values, standard errors, Central Limit Theorem, confidence intervals).
Proficiency in data analysis and visualization tools (e.g., Python/R, SQL, Tableau, PowerBI, QlikSense, or similar software).
Soft skills: Excellent communication and storytelling skills, high adaptability to work in a networking mode, coaching mindset, and ability to act as a bridge between technical and non-technical teams.
Languages: Advanced level in English.
Valuable / Nice to have: Experience within the aerospace, defense, or industrial manufacturing sectors; knowledge of big data technologies or advanced machine learning models.
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 Defence and Space SAUEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob Family:
DigitalBy 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
- Degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline
- Proven experience in data analysis, data preparation, and working with complex datasets
- Strong knowledge of statistics and probability, including hypothesis testing, Monte Carlo simulations, expected values, standard errors, the Central Limit Theorem, and confidence intervals
- Proficiency with data analysis and visualization tools such as Python, R, SQL, Tableau, Power BI, or QlikSense
- Excellent communication and data storytelling skills
- Adaptability, networking ability, coaching mindset, and ability to bridge technical and non-technical teams
- Advanced English language proficiency
- Experience in aerospace, defense, or industrial manufacturing
- Knowledge of big data technologies or advanced machine learning models
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.
