We are easyJet – a FTSE-100 listed, multi-billion low-cost airline that serves tens of millions of customers every single year. If you’re reading this, you have probably already been an easyJet customer, and you’ll know that there is no more iconic (or Orange!) travel brand in Europe.
We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues. We’re on a mission to make low-cost travel easy – and whatever your role here, you’ll connect millions of people to what they love using Europe’s best airline network, great value fares, and friendly service.
What makes us easyJet Our Promise Behaviours – we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet.
Read on if you
> Have experience working in a fast-paced data analytics or data science environment
> Confidently enjoy turning complex data into clear insight that drives real world decisions
> Can be in Luton (Capability Green) office 3 x per week
The Team
There are over three million parts in an easyJet Airbus A320 aircraft, but it’s the one missing part that can stop an aircraft flying that matters most.
Our Engineering and Maintenance Supply Chain team manages more than 500,000 parts transactions every year, overseeing aircraft material worth over $250m across our European network and an annual spend exceeding 150m.
This is a highly driven team operating at pace, focused on maximising aircraft availability while reducing inventory cost and keeping our operation moving.
The Role
As a Supply Chain Data Analyst, you’ll sit at the heart of our Engineering and Maintenance Supply Chain function. Your mission is to use data, analytics and automation to improve aircraft availability, reduce technical disruption and help the business make smarter decisions faster.
You’ll act as a data lead for Supply Chain, shaping how we forecast material, model inventory, plan strategically and design our network. You’ll work closely with Supply Chain stakeholders and our Data Science and Analytics teams to turn insight into action.
What you’ll be doing
> Identify opportunities where data and analytics can improve operational performance and translate these into impactful dashboards and data products
> Build and support scalable data solutions that deliver clear, actionable insight
> Lead data investigations, performing root cause analysis and clearly communicating outcomes
> Drive standardisation and best practice across analysis, methodology and reporting
> Support forecasting, inventory modelling, strategic planning and network design activity
> Deliver ad hoc analysis to support decision making at all levels, including senior leadership
> Manage multiple projects independently while maintaining accuracy and pace
> Stay curious and up to date with best practice in analytics, governance and innovation
What we’re looking for
> Proven experience in a high-pressure, fast-moving data analytics environment
> Familiarity with Skywise, AMOS, and other modern data management platforms (desirable)
> Strong Python and SQL skills with solid data management and governance knowledge
> Broad technical systems and platform experience, including data visualisation tools such as Tableau, Power BI, Qlik Sense or ThoughtSpot, distributed data platforms such as Databricks, and modern data science and cloud environments covering Big Data, analytics tooling and the MLOps lifecycle
> Strong understanding of data science methodologies, cloud environments and the analytics lifecycle
> Excellent communication skills with the ability to simplify complex concepts for non- technical audiences
> Experience working in Agile environments and across multiple stakeholder groups
> A degree in a scientific or engineering discipline or equivalent commercial experience
> Supply chain or airline experience
What you’ll get in return
> Competitive base salary
> Up to 20 bonus
> 25 days holiday
> BAYE, SAYE and Performance Share Schemes
> 7 pension
> Life assurance
> Flexible benefits package
> Excellent staff travel benefits
Practicalities
This full-time role will be based in Luton and will be 40 hours per week. We support hybrid working and we spend 60 of our time per month in the office.
