Data Analyst

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Data Analyst (Aircraft Health / Predictive Maintenance)

Location: Filton (60% onsite)
Contract: Until 31/12/2026 (possible extension)
Hours: 35 hours per week (4.5 days, flexible between 7am-7pm)
Rate: 50.00 per hour Umbrella / 37.38 per hour PAYE
Security Clearance: BPSS+ (to be completed prior to start)
IR35: Inside IR35

About the Role

Our client is seeking an experienced Data Analyst to support advanced aircraft fleet analytics, focusing on predictive maintenance and diagnostic modelling. This is a fantastic opportunity to work within a highly technical environment, contributing to improvements in fleet performance and operational efficiency.

Key Responsibilities

  • Develop and enhance fleet diagnostic and predictive maintenance models
  • Analyse aircraft in‑service data to support technical investigations and design improvements
  • Work closely with stakeholders to gather requirements and deliver data‑driven studies and insights
  • Support wider data management and analytics initiatives across the business
  • Improve understanding of in‑service operations and system performance through data analysis

Essential Skills & Experience

  • Strong experience in data analytics and data visualisation
  • Experience using tools such as Jira, GitHub and Jupyter‑based platforms
  • Experience with Palantir Foundry (Skywise) or similar data platforms
  • Ability to manage stakeholders and translate requirements into actionable insights
  • Proven ability to work independently with a strong delivery focus

Desirable Experience

  • Exposure to predictive maintenance frameworks and processes
  • Understanding of landing gear systems (LG) or wider aircraft systems
  • Experience within aerospace or similar highly regulated industries
  • Knowledge of machine learning or AI techniques

#J-18808-Ljbffr”, “datePosted”: “2026-05-21”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Belcan”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__438858817__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=728” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Gloucester” } } }
Company: Belcan
Apply for the Data Analyst
Location: Gloucester
Job Description:

Data Analyst (Aircraft Health / Predictive Maintenance)

Location: Filton (60% onsite)Contract: Until 31/12/2026 (possible extension)Hours: 35 hours per week (4.5 days, flexible between 7am-7pm)Rate: 50.00 per hour Umbrella / 37.38 per hour PAYESecurity Clearance: BPSS+ (to be completed prior to start)IR35: Inside IR35

About the Role

Our client is seeking an experienced Data Analyst to support advanced aircraft fleet analytics, focusing on predictive maintenance and diagnostic modelling. This is a fantastic opportunity to work within a highly technical environment, contributing to improvements in fleet performance and operational efficiency.

Key Responsibilities

  • Develop and enhance fleet diagnostic and predictive maintenance models
  • Analyse aircraft in‑service data to support technical investigations and design improvements
  • Work closely with stakeholders to gather requirements and deliver data‑driven studies and insights
  • Support wider data management and analytics initiatives across the business
  • Improve understanding of in‑service operations and system performance through data analysis

Essential Skills & Experience

  • Strong experience in data analytics and data visualisation
  • Experience using tools such as Jira, GitHub and Jupyter‑based platforms
  • Experience with Palantir Foundry (Skywise) or similar data platforms
  • Ability to manage stakeholders and translate requirements into actionable insights
  • Proven ability to work independently with a strong delivery focus

Desirable Experience

  • Exposure to predictive maintenance frameworks and processes
  • Understanding of landing gear systems (LG) or wider aircraft systems
  • Experience within aerospace or similar highly regulated industries
  • Knowledge of machine learning or AI techniques

#J-18808-Ljbffr…

Posted: May 21st, 2026