Data Analyst Support Engineer

The 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.

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.