Supply Chain Data Analyst

easyJet; Luton; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A major low-cost airline is looking for a Supply Chain Data Analyst in Luton. The role involves leveraging data analytics and automation to enhance aircraft availability and facilitate strategic decision-making. Candidates should have proven experience in data analytics, strong knowledge of Python and SQL, and excellent communication skills. Benefits include a competitive salary, up to 20% bonus, and flexible working arrangements.

Benefits

Competitive base salary

Up to 20% bonus

25 days holiday

7% pension

Life assurance

Excellent staff travel benefits

Qualifications

• Proven experience in a high-pressure data analytics environment.
• Strong understanding of data science methodologies and analytics lifecycle.
• Experience working in Agile environments.

Responsibilities

• Use data and analytics to improve operational performance.
• Build and support scalable data solutions.
• Lead data investigations and communicate outcomes.

Skills

Data analytics experience

Strong Python skills

SQL skills

Data visualization tools

Excellent communication

Education

Degree in scientific or engineering discipline

Tools

Tableau

Power BI

Databricks

Job description

We are easyJet – a FTSE‑100 listed, multi‑billion low‑cost airline that serves tens of millions of customers every single year.

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 – 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× per week

The Team

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.

Reasonable Adjustments

At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact [e-mail]. We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.