Senior Insight Analyst – Crew Planning in London

Join our Crew Planning team, which oversees the entire crew supply chain – from recruitment and training to planning and rostering. As part of the Crew Analytics team, you will provide actionable insight that supports day‑to‑day decision‑making and longer‑term planning.

Responsibilities

• Define, refine and own metrics, definitions and analytical logic to ensure consistent, trusted and decision‑ready insight.
• Use SQL and advanced analytical techniques to extract, transform, validate and analyse complex data from multiple sources to support evidence‑based decision‑making in Crew Planning.
• Build and maintain dashboards and automated analytical outputs that support ongoing performance monitoring.
• Lead exploratory, diagnostic and ad‑hoc analysis to answer specific operational questions and inform decision‑making.
• Review and develop trends and model projections to identify operational challenges and potential solutions.
• Provide relevant and timely operational insights on current performance to Crew Planning and senior stakeholders.
• Communicate insights and findings clearly to technical and non‑technical audiences, including senior leaders.
• Recommend tools, capabilities and best practices that help optimise Crew Planning performance.
• Foster a data‑driven culture, creating a single version of the truth to promote data‑led decision‑making.
• Proactively generate and test hypotheses, taking ownership of solving problems and driving continuous improvement.
• Manage multiple analytical topics, prioritising and delivering high‑quality outputs in a fast‑paced operational environment.
• Coach and support colleagues, sharing expertise and developing talent within the team.

Qualifications

• Degree or postgraduate qualification in a numerical, analytical or quantitative discipline, or equivalent practical experience.
• Substantial experience in analytics, data analysis or a problem‑solving role, ideally with experience influencing senior stakeholders.
• Advanced SQL skills, with experience extracting, transforming and analysing data from large, complex datasets; experience with Python or similar analytical languages is desirable.
• Experience with or commitment to learn data visualisation tools (e.g. Tableau, ThoughtSpot, Power BI).
• Strong data handling and analytical skills, including data validation, interpretation and translating analysis into actionable insight.
• Comfortable working in a fast‑paced, evolving environment and delivering high‑quality analysis under time pressure.
• Self‑motivated and outcomes‑focused, able to work independently across multiple analytical topics.
• Organised, adaptable and comfortable with ambiguity and change.
• Ability to communicate analytical insight clearly and confidently to technical and non‑technical stakeholders, including senior leaders.
• Strong interpersonal skills, with an ability to build effective working relationships and influence at all levels.
• Curious mindset, with a willingness to continuously develop analytical, technical and domain knowledge.
• Demonstrable experience of using data to drive business decisions in a commercial setting.
• Ability to align business needs with analytical delivery, while remaining credible and confident in explaining analytical approaches and outputs.

Benefits

• Up to 20% maximum bonus
• 7% pension contributions
• Excellent staff travel benefits
• 25 days of annual leave plus