In Service Data Analysis Engineer

Job title: In Service Data Analysis Engineer

Company: BAE Systems


Job description: Job title: In Service Data Analysis EngineerLocation: Samlesbury – We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role.Salary: £41,361+ depending on experienceWhat you’ll be doing:

  • Analysing and interpreting equipment data to generate a view of reliability across the Operator fleets
  • Analysing and interpreting maintenance tasks and data to understand opportunities to optimise the maintenance of the platform including Technical Instructions based on in-service experience
  • Analysing and interpreting supplier information to support investigation into root causes of reliability or maintenance issues
  • Working with other stakeholders to explore use of new technologies and techniques as Data Analytics and Machine Learning, continually enhancing our data analysis capabilities
  • Supporting the Operation Centre in its development to provide strategic and tactical data to its customers, enabling them to optimise their operations

Your skills and experiences:Essential:

  • Hold a degree in a STEM subject or demonstrate equivalent relevant experience. This may also include professional qualifications such as HNC/D
  • IT literate with particular emphasis on MS Office Suite
  • Experience in an aerospace environment with a sound knowledge of aircraft systems and maintenance activities will be advantageous

Desirable:

  • Experience of using PowerBI, PowerView and PowerPivot
  • Experience of handling large datasets
  • Awareness of the ESS (Engineering Support System) and IMS (Maintenix)

Benefits:You’ll receive benefits including a competitive pension scheme, enhanced annual leave allowance and a Company contributed Share Incentive Plan. You’ll also have access to additional benefits such as flexible working, an employee assistance programme, Cycle2work and employee discounts – you may also be eligible for an annual incentive.The In Service Data Analytics & Fleet team:The primary role of the team is to provide a Global Reliability and Maintenance Programme monitoring service for the Typhoon platform as well as a Reliability and Maintenance Data Analysis service. These services support the wider organisation in key activities such as the development of reliability and maintenance optimisation candidates through investigation of ESS and IMS data, scaling of spares provisioning, investigations into technical or safety issues, and forecasting of supply chain critical issues.Why BAE Systems?This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome candidates from all backgrounds and particularly from sections of the community who are currently underrepresented within our industry, including women, ethnic minorities, people with disabilities and LGBTQ+ individuals.We also want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.Please be aware that many roles working for BAE Systems will be subject to both security and export control restrictions. These restrictions mean that factors including your nationality, any previous nationalities you have held, and your place of birth may limit those roles you can perform for the organisation.Closing Date: 12th November 2024We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Expected salary: £41361 per year

Location: Samlesbury, Lancashire

Job date: Wed, 30 Oct 2024 01:35:40 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (jobsnear.pro) you saw this job posting.Thanks&Good Luck

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