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# Data Analyst Support Engineer

- **Company:** Airbus
- **Location:** Getafe, Spain
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Big Data, Data Cleansing, Data Security, Data Visualization, R (Programming Language), Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Monte Carlo Methods, Raw Data, Power BI, SQL Databases, Tableau (Software), Qliksense, Data Processing, Information Technology, Data Analytics
- **Published:** September 15, 2026
- **Apply:** https://ag.wd3.myworkdayjobs.com/Airbus/job/Getafe-Area/Data-Analyst-Support-Engineer_JR10399631

## About the Role

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.

## Description

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.


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