The Role

As a Senior Insight Analyst, you’ll:

>      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 to 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 

Requirements of the Role

What we’re looking for



>      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 the 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