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- Tasks: Transform complex data into actionable insights to enhance aircraft availability and operational performance.
- Company: Join easyJet, a leading low-cost airline connecting millions across Europe.
- Benefits: Enjoy up to 20% bonus, 25 days holiday, and fantastic staff travel perks.
- Why this job: Be at the forefront of data analytics in aviation, making a real impact on travel.
- Qualifications: Experience in data analytics, strong Python and SQL skills, and a degree in a relevant field.
- Other info: Flexible working options and a dynamic team environment await you.
The predicted salary is between 30000 - 42000 £ per year.
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.
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.
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.
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.
- 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.
- 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:
- Up to 20% bonus.
- 25 days holiday.
- BAYE, SAYE and Performance Share Schemes.
- Life assurance.
- Flexible benefits package.
- Excellent staff travel benefits.
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.
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.
Supply Chain Data Analyst in Luton employer: easyJet Airline Company PLC
Contact Detail:
easyJet Airline Company PLC 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 employees at easyJet on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Supply Chain Data Analyst role.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss how you've used data analytics to drive decisions in past roles. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your passion for aviation and supply chain management. Research easyJet’s operations and think of ways you could contribute to improving their processes. This will help you stand out as a candidate who truly cares.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the easyJet team and ready to take on the challenge.
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 you can contribute to our mission at easyJet. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to showcase specific examples of how you've turned complex data into actionable insights. We’re all about making smarter decisions faster, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be part of our journey to make low-cost travel easy for everyone. Don’t miss out!
How to prepare for a job interview at easyJet Airline Company PLC
✨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. Since you'll be working with non-technical stakeholders, being able to convey your findings clearly is crucial. Consider doing mock interviews to refine this skill.
✨Stay Curious and Informed
Research the latest trends in data analytics and supply chain management. Being knowledgeable about current best practices will not only impress your interviewers but also show that you're proactive and passionate about your field.
