Pricing & Supply Analyst

Your tasks

• Turn data into actionable insights by analysing large, complex datasets using SQL to identify trends, uncover commercial opportunities and improve pricing performance.
• Develop and optimise pricing strategies across car rental and insurance products, using data-driven recommendations to maximise revenue and profitability.
• Build insightful dashboards and reporting using Tableau, Power BI or similar tools to monitor performance, track key metrics and support smarter business decisions.
• Translate analysis into practical solutions, working closely with Revenue, Supply and Trading teams to implement improvements that deliver measurable commercial results.
• Analyse market trends, competitor pricing and customer demand to identify opportunities, improve forecasting and support effective pricing decisions.
• Collaborate with Data Science and Engineering teams to enhance pricing models, test new approaches and turn analytical insights into scalable solutions.

Requirements

• Strong SQL expertise, with hands-on experience querying, analysing and interpreting large, complex datasets to uncover meaningful business insights.
• Proficiency in Tableau, Power BI or similar visualisation tools, with the ability to create clear, engaging dashboards and communicate performance insights effectively.
• A strong commercial and analytical mindset, with the ability to connect data insights to business performance, identify opportunities and recommend solutions that drive results.
• Experience in pricing, revenue optimisation or data analytics, ideally with around five years' experience in a commercially focused environment. Experience in travel or eCommerce would be an advantage.
• A proactive, solutions-focused approach, with a track record of moving beyond analysis to implement improvements, solve problems and deliver measurable outcomes.
• Excellent communication and collaboration skills, with the ability to influence decisions, explain complex findings clearly and work effectively across teams. Experience with forecasting, pricing models or Python/R would be a bonus.