Pricing & Supply Analyst
Cartrawler · Dublin · hybrid
What you’ll do as a Pricing & Supply Analyst:
- 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.
What you’ll bring to the team:
- 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.