Data Analyst Support Engineer

Airbus Defence and Space; Getafe; Híbrido; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Life insurance

Health insurance

Employee stock options

Retirement plan

Study grants

Canteen on-site

Kindergarten

Medical office

Descripción de la vacante

Airbus Defence and Space in Getafe (Madrid) is seeking a Data Analyst to join the Data & Analytics Team, serving as a bridge between business functions and our data ecosystem. The role focuses on transforming large datasets into strategic assets and delivering actionable insights.

The team aims to drive a data-driven mindset across the organization, ensuring top-tier data governance within defense and space programs.

Formación

• Degree in Mathematics, Statistics, Computer Science, Engineering, or related quantitative discipline.
• Proven experience in data analysis, data preparation, and working with complex datasets.
• Strong know-how in statistics and probability concepts; proficient with data analysis and visualization tools.

Responsabilidades

• Perform end-to-end data processing from diverse sources to ensure high data quality.
• Apply statistical techniques to extract insights and support decision-making.
• Design and deliver impactful data visualizations and dashboards to communicate findings clearly.
• Prepare and present comprehensive reports to stakeholders to drive data-driven decisions.
• Manage analytical tools and ensure data security, privacy, and compliance.
• Foster a data-driven mindset and share best practices with the Airbus data community.

Conocimientos

Data analysis

Statistics

Python/R

SQL

Tableau

PowerBI

QlikSense

Communication

English

Educación

Math/Statistics/CS/Engineering

Herramientas

Python

SQL

Tableau

Power BI

QlikSense

Descripción del empleo

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.

Responsibilities

• 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?

• 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?

• 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 environ ment.
• 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

By 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 [e-mail] .

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.

#YESPOST