Day to day

You’ll transform complex operational and customer data into actionable insight that drives measurable improvement across our network.

From real-time performance analysis to predictive modelling, you’ll identify the “why” behind the numbers and forecast future risks and opportunities using advanced analytics and machine learning techniques.

You’ll also play a key role in shaping how we set targets, measure performance and automate decision-support tools across the operation.

• Deliver real-time, insight-led analysis to support operational decision-making

• Develop forecasting models to predict performance, risks and opportunities

• Build and maintain automated reporting solutions that create a single source of truth

• Design innovative tools that integrate data from multiple systems

• Develop data-driven target setting methodologies across Customer & Operations

• Analyse crew productivity, standby utilisation and operational risk

• Provide insight into schedule optimisation impacts on operational teams and customer experience (NPS, complaints, VOC)

• Support airport managers and OCC teams with enhanced decision-support tools

• Identify opportunities to automate and improve operational processes

• Present compelling, data-led business cases to senior stakeholders

• Mentor colleagues and improve data capability across teams

About you

You’re a curious and commercially minded analyst who thrives in a fast-paced operational environment. You combine technical expertise with strong influencing skills and the confidence to challenge and improve ways of working.

Essential

• Degree educated or equivalent analytical experience

• Advanced Power BI capability

• Strong data modelling and analytical skills

• Experience working with large, complex datasets

• Ability to interpret trends and translate data into clear business insight Highly Desirable

• Experience with DAX and M languages

• SQL and Python proficiency

• Power Apps development knowledge

• Experience with predictive modelling or machine learning