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For Companies At a Glance
- Tasks: Analyse data to optimise pricing and support strategic decisions in a fast-paced environment.
- Company: Join easyJet, the UK's largest airline, connecting millions across Europe with innovative travel solutions.
- Benefits: Enjoy flexible hybrid work, competitive salary, bonuses, and excellent staff travel perks.
- Why this job: Make a direct impact on business success while developing your skills in a dynamic team.
- Qualifications: Degree in a quantitative field; experience in data analysis, SQL, or Python preferred.
- Other info: Fresh graduates are encouraged to apply for this exciting opportunity.
The predicted salary is between 36000 - 60000 £ per year.
Commercial Data Analyst (RMAS)
Luton/Hybrid
Company
When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so people can exercise their get-up-and-go. With over 300 aircraft flying over 800 routes to more than 30 countries, we’re the UK’s largest airline, the second largest in Europe and the tenth largest in the world. Flying over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing.
Job Purpose
As part of the Commercial organization, The PRM department is responsible for pricing more than 100 million tickets and ancillary products annually. In addition, the department creates market analysis and forecasts, which drive route network and marketing decisions. The primary role of the Commercial Data Analyst is to develop, test, and operate easyJet\’s pricing systems and algorithms using SQL, Python, data analysis, and statistics. The objective is to maximise revenue and support easyJet’s strategic objectives by testing and optimising algorithmic pricing decisions. The position collaborates closely with Commercial and IT departments. The role reports to the Senior RM Algorithms and Strategy (RMAS) Manager and requires strong technical skills and commercial acumen.
Job Accountabilities
- Oversee daily performance of our automated pricing engine. Detect anomalies, investigate root causes, and liaise with the relevant teams to resolve issues.
- Automate pricing workflows using ETL tools and scripting (e.g., Python, SQL). Build and maintain pipelines to streamline process efficiency.
- Develop quantitative methodologies and algorithms to optimize pricing. Design and execute statistical A/B tests or controlled experiments in pricing.
- Work alongside Trading, Business Intelligence, and Data Science teams. Proactively surface pricing improvement opportunities, prototype new approaches, and co-develop solutions.
- Analyse pricing outcomes, performance KPIs, and system metrics. Perform ad-hoc analysis to answer business questions and seek data-based insights for business improvement.
- Present findings through dashboards, reports and effectively communicate important findings, provide recommendations to both technical and non-technical stakeholders in a clear and understandable way.
- Maintain clean, reusable code, version-control scripts and tools. Ensure that data solutions are well-explained and documented, as well as educating colleagues about such best practices.
- Support with design and delivery of technical training for analytical tools and their associated ways of working.
- Work independently and have accountability for multiple concurrent projects while delivering accurate and appropriate findings
Key Skills Required
- Degree in statistics, econometrics, computer science, data science, economics, or in a quantitative domain.
- Experience in data analysis with a strong business mindset, working with and interpreting large datasets.
- Experience developing data products in SQL and/or Python or other object-oriented languages.
- Experience in pricing, revenue management and commercial analytics is an advantage.
- Comfortable in a fast-paced and challenging environment.
- High tolerance for ambiguity and change.
Role opportunities
- Opportunity to develop your skills, try new technologies and make a huge direct business impact.
- Opportunity to participate in the data science apprenticeship program.
- Hybrid flexible work hours with combined remote and in office work.
- Dynamic, friendly, creative team.
- Being part of easyJet\’s digital transformation.
- Talented fresh graduates are welcome to apply.
What We Offer
- Competitive base salary
- Up to 20% bonus
- 25 days holiday
- BAYE, SAYE & Performance share schemes
- 7% pension
- Life Insurance
- Work Away Scheme
- Flexible benefits package
- Excellent staff travel benefits
About EasyJet
At easyJet our aim is to make low-cost travel easy – connecting people to what they value using Europe’s best airline network, great value fares, and friendly service.
It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you’re working as part of our front-line operations or in our corporate functions, you’ll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our ‘Orange Spirit’, and we hope you’ll share that too.
Apply
Complete your application on our careers site.
We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all.
As such we will make reasonable adjustments at interview through to employment for our candidates.
Business Area
Commercial
Primary Location
United Kingdom-London-London Luton Airport
Organisation
Commercial
Schedule
Full-time
Unposting Date
Ongoing
#J-18808-Ljbffr
Commercial Data Analyst employer: Easyjet
Contact Detail:
Easyjet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Data Analyst
✨Tip Number 1
Familiarise yourself with easyJet's pricing strategies and market positioning. Understanding their approach to pricing and revenue management will help you demonstrate your commercial acumen during discussions.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your technical abilities.
✨Tip Number 3
Network with current employees or alumni who work in similar roles at easyJet. They can provide valuable insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 4
Prepare to discuss your experience with A/B testing and statistical analysis. Be ready to share specific examples of how you've used these methods to drive business decisions or improve processes in previous roles.
We think you need these skills to ace Commercial Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Commercial Data Analyst position. Familiarise yourself with the key skills mentioned in the job description, such as SQL, Python, and data analysis.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your background in statistics, data analysis, and any experience with pricing or revenue management.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your skills can contribute to easyJet's objectives. Mention specific projects or experiences that demonstrate your ability to optimise pricing and analyse large datasets.
Showcase Technical Skills: In your application, be sure to highlight your technical skills, particularly in SQL and Python. Provide examples of how you've used these tools in previous roles or projects to solve problems or improve processes.
How to prepare for a job interview at Easyjet
✨Showcase Your Technical Skills
As a Commercial Data Analyst, you'll need to demonstrate your proficiency in SQL and Python. Be prepared to discuss specific projects where you've used these skills to analyse data or develop algorithms. Consider bringing examples of your work or discussing challenges you've overcome using these tools.
✨Understand the Business Context
It's crucial to show that you understand how data analysis impacts pricing and revenue management. Research easyJet's business model and be ready to discuss how your analytical skills can contribute to their strategic objectives. This will highlight your commercial acumen and alignment with the company's goals.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, especially in relation to data anomalies and pricing strategies. Practice articulating your thought process clearly, as this will demonstrate your analytical mindset and ability to work under pressure.
✨Communicate Effectively
You'll need to present findings to both technical and non-technical stakeholders. Practice explaining complex data insights in simple terms. Use examples from your past experiences where you've successfully communicated data-driven recommendations to diverse audiences.
