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For Companies At a Glance
- Tasks: Use data and analytics to enhance aircraft availability and streamline supply chain operations.
- Company: Join easyJet, a leading low-cost airline connecting millions across Europe.
- Benefits: Competitive salary, bonus, 25 days holiday, flexible benefits, and excellent staff travel perks.
- Why this job: Make a real impact in aviation by turning complex data into actionable insights.
- Qualifications: Experience in data analytics, strong Python and SQL skills, and a degree in a relevant field.
- Other info: Hybrid working model with a dynamic team focused on innovation and excellence.
The predicted salary is between 36000 - 60000 £ per year.
We are easyJet – a FTSE-100 listed, £multi-billion low-cost airline that serves tens of millions of customers every 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.
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
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.
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, please contact us at ma.recruitment@easyjet.com.
Supply Chain Data Analyst in Luton employer: Easyjet
Contact Detail:
Easyjet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Supply Chain Data Analyst in Luton
✨Tip Number 1
Network like a pro! Reach out to current or former easyJet employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Supply Chain Data Analyst team.
✨Tip Number 2
Prepare for your interview by brushing up on your Python and SQL skills. Be ready to discuss how you've used data to drive decisions in past roles. We want to see your analytical prowess in action!
✨Tip Number 3
Showcase your problem-solving skills! Think of specific examples where you identified opportunities for improvement through data analysis. This will help us see how you can contribute to our mission at easyJet.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the easyJet family.
We think you need these skills to ace Supply Chain Data Analyst in Luton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Supply Chain Data Analyst role. Highlight your experience in data analytics and any relevant tools you've used, like Python or SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a great fit. Don’t forget to mention your experience in fast-paced environments – we love that!
Showcase Your Data Skills: In your application, be sure to showcase your data skills and any projects where you've turned complex data into actionable insights. We’re all about making smarter decisions faster, so let us know how you can contribute!
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Easyjet
✨Know Your Data Tools
Familiarise yourself with the data management platforms mentioned in the job description, like Skywise and AMOS. Be ready to discuss how you've used Python and SQL in past roles to drive insights and improve operational performance.
✨Showcase Your Analytical Skills
Prepare examples of how you've turned complex data into actionable insights. Think about specific projects where your analysis led to significant decisions or improvements, especially in a fast-paced environment.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You might be asked to present your findings to non-technical stakeholders, so being able to simplify your insights will be key to demonstrating your communication skills.
✨Stay Curious and Informed
Research the latest trends in data analytics and supply chain management. Being knowledgeable about best practices and innovations in the field will show your passion and commitment to continuous improvement.
