Flight Data Analyst

Acron Aviation
Whiteley
3 days ago
Create job alert

Location: Whiteley, UK


Department: Acron Aviation Data Analytics


About Acron Aviation

Acron Aviation is a dynamic partner to the global commercial aviation industry, with a strong legacy of delivering certified, industry-standard solutions and cutting‑edge, data‑driven innovations. With clients around the world, our team is united by a mission to innovate for safer skies.


Learn more at acronaviation.com


About Acron Aviation Analytics

At Acron Aviation Analytics, we deliver outsourced Flight Data Monitoring (FDM) services to operators globally. We believe that data is powerful when analysed effectively, it drives safety, saves lives, and reduces costs. Our advanced FDM platform is among the largest in the world, and is constantly evolving through close collaboration between our R&D and analytics teams.


We’re passionate about aviation safety and expect our team members to share that commitment. As a Flight Data Analyst, you’ll play a crucial role in helping our customers understand their data, improve their safety programs, and operate more efficiently.


Your Role: What You’ll Be Doing

As a Flight Data Analyst, you will be the primary point of contact for a portfolio of customers. You'll work closely with them to configure, manage, and enhance their FDM programs delivering clear insights and expert recommendations to elevate flight safety standards.


Key Responsibilities

  • Act as the main point of contact for assigned customers and build strong working relationships
  • Support customers in setting up and maintaining their FDM programs
  • Analyse flight data regularly and validate safety and maintenance events
  • Investigate operational anomalies and communicate findings in a clear, actionable manner
  • Advise customers on appropriate event thresholds and safety triggers
  • Handle ad hoc data analysis requests and prepare detailed statistical reports
  • Manage support tickets, emails, and customer queries with ownership and urgency
  • Meet internal KPIs and deliver analysis to customers in line with SLAs
  • Collaborate with internal teams to support broader flight safety initiatives
  • Identify system bugs or inefficiencies and liaise with developers for resolution
  • Conduct acceptance testing for new FDM events, features, and fixes
  • Occasionally provide after‑hours emergency support for AOG (Aircraft on Ground) situations
  • Assist in data readouts for FDR, CVR, and DLR files using our Express Readout tool
  • Deliver training, product demos, and guidance to new customers or when new features are launched
  • Represent Acron at industry conferences and customer visits (international travel may be required)

What You’ll Bring

  • Flying experience (desirable but not essential)
  • Strong understanding of aircraft systems and flight operations
  • Analytical mindset with experience in data handling and statistical analysis
  • Demonstrated passion for aviation safety and knowledge of safety management principles
  • Customer‑focused with the ability to anticipate and respond to client needs
  • Excellent verbal and written communication skills
  • Meticulous attention to detail
  • Ability to work efficiently and effectively under pressure

Why Join Us?

At Acron Aviation, you’ll be part of a global mission to make aviation safer. You'll work alongside a collaborative, passionate team where your insights make a real‑world impact. This is your opportunity to develop deep domain expertise in aviation analytics and safety—and grow your career in a high‑tech, high‑impact environment.


Please note: All candidates who wish to be considered for this vacancy must have the right to work in the UK.


#J-18808-Ljbffr

Related Jobs

View all jobs

Flight Data Analyst

Flight Data Analyst - Aviation Safety Analytics

Flight Data Analyst: A400M Maintenance & MDS Specialist

Manufacturing Engineering Data Scientist

Manufacturing Engineering Data Scientist

Hybrid Data Analyst - Financial Crime Impact & Ethics

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.