BI Analyst
Easyjet
In this role you will transform operational data into actionable insights to improve performance across easyJet’s Operations. You will collaborate with the Operations Insights & Improvements team to develop dashboards, reports and training that empower non-technical stakeholders. You will monitor KPIs, support data fluency, and manage multiple projects while communicating findings clearly. This is a hands-on position in a fast-paced travel business with a strong emphasis on data-driven decision making and cross-team collaboration.
Pay / Benefits- Up to 20% maximum bonus
- Private Medical Insurance (PMI)
- 7% pension contributions
- Excellent staff travel benefits
- 25 days of annual leave plus bank holidays
- Annual credit towards an easyJet holiday
- Analyse complex datasets and perform ad-hoc analyses to answer business questions
- Develop reports, visualisations, and presentations to communicate insights
- Establish and monitor KPIs and performance metrics with senior team
- Support and grow the BI Analyst community and promote best practices
- Design and deliver technical training for analytical tools and ways of working
- Ensure data tools and reports are well-documented and accessible
- Manage multiple projects independently delivering accurate results
- Degree or post-graduate qualification in a numerical/analytical subject, or equivalent business experience
- Proven experience in a numerical, analytical, and problem-solving role
- Experience with or willingness to learn SQL or Python
- Familiarity with BI/data visualisation tools (Tableau, Thoughtspot, PowerBI)
- Practical database skills focused on data extraction and transformation
- Strong analytical and logical thinking skills
- Ability to deliver under pressure in a fast-paced environment
- Organised, motivated, and adaptable to change
- Excellent communication and interpersonal skills
- Eagerness to learn and stay up to date with data analytics and visualisation
- Excellent communication
- Interpersonal skills
- Organisational skills
- SQL
- Python
- Tableau
Reference: WJ-747_30149172