We are seeking an experienced Data Analyst to join our client on a contract basis, supporting critical aerospace projects. This is an exceptional opportunity to contribute to innovative initiatives within the aerospace industry, renowned for its technology-driven environment and commitment to excellence.
The successful candidate will play a vital part in shaping data-driven decision-making processes that impact aircraft safety, efficiency, and operational excellence.
Key Responsibilities
* Analyse aircraft health data utilizing Skywise and Python tools to identify trends and insights.
* Collaborate with Systems Engineering teams to interpret and enhance aircraft system performance.
* Support health engineering activities related to aircraft lifecycle management.
* Use in-service data to improve in-service operations understanding and system design.
* Contribute to the development of fleet diagnostic and predictive maintenance models.
* Support technical investigations with aircraft fleet data analysis.
* Proven experience in data analysis within the aerospace sector or similar high-technology environment.
* Proficiency in Python programming for data manipulation and analysis.
* Practical knowledge of Skywise or comparable aviation data platforms.
* Strong understanding of aircraft systems and health engineering principles.
* Ability to interpret complex data sets into actionable insights.
* Experience with Jira, Palantir Foundry (Skywise), Extended Platform (Jupyter), Github.
* Knowledge of Skywise Predictive Maintenance (SPM).
* Experience with Manage Fleet Diagnostic and Predictive Maintenance process (SU.CP.05).
* Previous experience in Predictive Maintenance and ZAOG plateau.
* Familiarity with AI and Machine Learning techniques.
* Highly organised, delivery-oriented, and capable of working independently.
If you are looking to apply data analytics within a dynamic aerospace setting and are eager to make a tangible impact, we invite you to submit your CV for consideration. This role offers the chance to work on innovative projects in a forward-thinking organisation committed to technological advancement and professional development.
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