Data Analyst Support Engineer

Job DescriptionData Analyst position within Airbus Defence and Space, Getafe (Madrid).The selected candidate will join the 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 role reinforces 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.ResponsibilitiesPerform end-to-end data processing, from gathering relevant data from 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.Maintain awareness of potential compliance risks and act with integrity, which is foundational to the company’s success, reputation and sustainable growth.QualificationsDegree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.Proven experience in data analysis, data preparation and working with complex datasets.Strong command of statistics and probability concepts (hypothesis testing, Monte Carlo simulations, expected values, standard errors, Central Limit Theorem, confidence intervals).Proficiency in data analysis and visualization tools (Python, R, SQL, Tableau, PowerBI, QlikSense or similar).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.Advanced level in English.Experience within the aerospace, defense or industrial manufacturing sectors, knowledge of big data technologies or advanced machine learning models is a plus.BenefitsVacation days plus additional days?off throughout the year.Attractive salary.Hybrid working model when possible.Collective transport service subject to working calendar / home location.Life insurance, health insurance, employee stock options, retirement plan or study grants.On?site facilities such as free canteen, kindergarten and medical office.Opportunities to collaborate on 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.Equal Opportunity StatementAirbus 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.#J-*****-Ljbffr

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 command of statistics and probability concepts (hypothesis testing, Monte Carlo simulations, expected values, standard errors, Central Limit Theorem, confidence intervals). Proficiency in data analysis and visualization tools (Python, R, SQL, Tableau, PowerBI, QlikSense or similar). 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. Advanced level in English. Experience within the aerospace, defense or industrial manufacturing sectors, knowledge of big data technologies or advanced machine learning models is a plus.

Vacation days plus additional days?off throughout the year. Attractive salary. Hybrid working model when possible. Collective transport service subject to working calendar / home location. Life insurance, health insurance, employee stock options, retirement plan or study grants. On?site facilities such as free canteen, kindergarten and medical office. Opportunities to collaborate on 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. Equal Opportunity Statement 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. #J-*****-Ljbffr