Data Analyst Support Engineer

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.

RESPONSIBILITIES

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.

SKILLS

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.

WHICH BENEFITS WILL YOU HAVE AS AN 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 Defence and Space SAU

Employment Type: Permanent

Experience Level: Professional

Job Family: Digital

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.