Pricing & Supply Analyst

Role Purpose This role involves creating and executing pricing and content strategies for car and insurance services in collaboration with the Head of P&L. You will use advanced analytical skills to drive P&L performance while responsible for pricing, optimizing platform content, and analysing performance.
Reporting to: Head of Pricing and Supply Optimisation
Key Duties & Responsibilities Advanced Pricing Strategy Development: develop and implement sophisticated pricing strategies and inform model builds and iterations to optimize revenue and profitability
Technical Analysis and Optimization: refine pricing algorithms and models, leveraging statistical and machine learning tools. Perform quantitative analysis to enhance pricing strategies
Data-Driven Insights and Reporting: conduct in-depth analysis of pricing performance using large data sets and advanced analytics tools. Build automated reporting dashboards, provide regular insights, and suggest data-driven actions to align with business goals.
Market and Competitive Analysis: use advanced data analytics to monitor market trends and competitor pricing, and bring forward recommendations and insights to determine pricing strategies and improve P&L performance.
Technical Collaboration: collaborate with Data Science and Engineering teams to develop and implement pricing algorithms and enhancements. Ensure seamless integration of pricing models into revenue management systems and platforms
Yield Management and Forecasting: develop yield management strategies to balance supply and demand, optimizing pricing across various channels and segments
Content Management: collaborate with the Supply team to ensure that pricing strategies align with supplier agreements and content quality standards. Optimize content and pricing structures to improve P&L performance
Key aspects of the role also involve supporting B2B Partner relationships, identifying technical innovation opportunities, and leading A/B testing to refine strategies and make data-driven recommendations to P&L owners
Qualifications Degree or masters in fields such as Data Analytics, Economics, Engineering, Mathematics, Statistics, Computer Science, Business Information Systems, or equivalent work experience.
Minimum of 5 years of experience in a pricing or data analytics role, preferably within the travel or eCommerce industry
Technical Skills Deep expertise in pricing algorithms, yield management, and data analytics to develop and implement sophisticated pricing strategies and inform model builds and iterations
Advanced data analysis and proficiency in statistical tools and programming languages (e.g., SQL, Python, R)
Advanced experience in data visualization tools (e.g. Tableau, Superset) and a history of reporting and analysing financial metrics
Experience with machine learning algorithms and advanced statistical methods for pricing and yield management (e.g. Regression, clustering, segmentation techniques)
Knowledge of econometric models and their application in pricing strategy
Analytical Skills Strong analytical and quantitative skills with the ability to work with complex data sets and extract actionable insights
Experience in demand forecasting, price elasticity analysis, and revenue optimization
Excellent understanding of financial metrics and the key drivers of P&L performance
Interpersonal Skills Excellent verbal and written communication skills, with the ability to present complex technical information clearly to stakeholders
A team player with strong collaboration skills and the ability to work effectively with cross-functional teams, including technical and non-technical colleagues
High level of curiosity, self-initiative, and ownership in driving technical innovation and process improvements
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