Data Analyst - Internship

Airbus · Competitive · Wales
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Reference Code: 10418507

Working with the Industrial Digital Evolution & Application (iDEA) team, you will be at the forefront of delivering Digital solutions to improve business performance in line with Industry 4.0 theory. In a truly multi-functional team you will have the opportunity to work with Design, Quality & Manufacturing Engineers as well as experienced data analysts.

The iDEA team focuses on Innovative ways of improving business performance and intelligence in line with Airbus's key digital competencies as well as preparing the plant for the future through up-skilling our people in Digital ways of working.


Our aim is to transform data into actionable insights for product performance, business and market intelligence; operational diagnostics and prognostics.

• Based on data modelling provided by IT, with a focus on business needs, extract and integrate both structured and unstructured data from various databases/data-stores
• Develop, test and implement the most suitable analytical models to identify meaningful patterns or trends from complex data sets and types. - Implement the analytics pipeline against the business needs
• Analyse and improve regularly the accuracy of models against business needs
• Communicate findings through effective and easy-to-understand data visualisations adapted to the audience
• Be the interface between their functions, the data ecosystem and the requested solution
• Coach the function in the data-driven mindset.
• Actively contribute and share best practices, findings, and techniques with the wider data community.


You must be an undergraduate for the full duration of the placement studying towards a degree in Computer Science or data analytics, statistics or mathematics with knowledge of Python and SQL

• Strong skills in querying languages such as SQL
• Strong skills in Scripting languages such as Python
• Good knowledge of Statistical Languages such as R, SPSS preferred
• Expert in MS Applications, G Suite a plus
• Good level of Statistical knowledge coupled with problem solving skills

Duration: 12 months

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