Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Business Intelligence Analyst

easyJet Airline Company PLC
City of London
4 days ago
Create job alert
Overview

Job Description - Business Intelligence Analyst (16346)

Business Intelligence Analyst
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
The Data Analytics Centre of Enablement (CoE) is seeking a BI Analyst to join our team. The ideal candidate will possess a solid background in data analytics. Key responsibilities include developing and updating data analytics training materials, establishing best practices and standards, supporting business functions with solution development and onboarding to our tools and platforms, and collaborating with stakeholders to drive innovation in data analytics across the organisation.

The Data Analytics CoE team is an integral part of the wider Data Analytics & Integration team, which also includes Data Science, Data Engineering and Data Management teams. The team works closely with a growing number of internal stakeholders across easyJet on multiple transformation projects.

Responsibilities
  • Develop reports, visualisations, and presentations to communicate strategic findings and present insights as actionable recommendations to key stakeholders, enabling the organisation to improve its business processes and make informed decisions.
  • Support the BI Analyst community as a growing and thriving community of practice.
  • Analyse complex data and perform ad-hoc analysis to answer business questions and seek data-based insights for business operations improvement.
  • Work with senior team members to establish and monitor KPIs and other metrics to measure business performance.
  • Support with design and delivery of technical training for analytical tools and their associated ways of working.
  • Be an advocate for the data analytics operating model, encouraging adoption of best practices within the BI Analyst community.
  • Have effective communication & storytelling skills to communicate important findings and provide recommendations to both technical and non-technical stakeholders in a clear and understandable way.
  • Champion data fluency and self-serve analytics, engaging with stakeholders to show why data is important and how to create, interpret and communicate insights effectively.
  • Ensure that data tools and reports are well-explained and documented, as well as educating colleagues about such best practices; providing an understanding of how to use the information effectively to achieve desired outcomes.
  • Summarise complex analyses into simple terms and communicate recommendations to all levels of the organisation including senior management.
  • Work independently and have accountability for multiple concurrent projects while delivering accurate and appropriate findings.
Qualifications

KEY SKILLS REQUIRED

  • Degree / post graduate qualification in a numerical/analytical subject or equivalent business experience.
  • Proven experience of working in a numerical, analytical, and problem-solving role in a product or service-related industry.
  • Experience with or commitment to learn one or more coding language (e.g. SQL, Python) to extract, manipulate and summarise data from large databases.
  • Experience with business intelligence/data visualisation tools (such as Tableau, Thoughtspot, PowerBI)
  • Practical database skills with focus on data extraction and transformation into actionable insights.
  • A logical thinker with a good analytical background.
  • Used to working and delivering under pressure.
  • Motivated, results-focussed self-starter, comfortable in a fast paced and challenging environment.
  • Organised and comfortable with change.
  • Ability to communicate clearly and confidently with stakeholders.
  • Strong interpersonal skills – ability to build and maintain relationships with internal stakeholders.
  • Willingness to learn and keep up to date on the latest developments in data analytics and visualisation
Benefits
  • Up to 20% bonus
  • 25 days holiday
  • BAYE, SAYE & Performance share schemes
  • Life Assurance
  • Flexible benefits package
  • Excellent staff travel benefits
Location & Hours of Work

We operate a hybrid working policy of up to 60% of the month spent with colleagues.

We look forward to your application and the possibility of you flying high with our team!

Application Process:

Interested candidates should apply through our careers portal.

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 us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation

Business Area
Primary Location


#J-18808-Ljbffr

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst - Financial Services

Business Intelligence Analyst - Financial Services

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.