Are you passionate about using data to drive commercial decisions and improve business performance?
We are seeking a highly analytical Pricing Analyst to join a growing global organisation operating within the industrial, automation, and maintenance solutions sector. This is an exciting opportunity to influence pricing strategy, optimise profitability, and help shape the future of data-driven decision-making across the business.

The Opportunity
As a Pricing Analyst, you will leverage advanced analytics, statistical modelling, and machine learning techniques to develop pricing strategies that maximise revenue and margin performance.
Working closely with Finance, Sales, Marketing, and Product teams, you will analyse complex datasets, identify opportunities for pricing optimisation, and provide actionable insights that directly impact business results.
This is a highly visible role offering the opportunity to contribute to strategic initiatives, build sophisticated pricing models, and help develop scalable pricing capabilities within a global organisation.

Key Responsibilities
Develop and implement data-driven pricing strategies aligned with revenue and profitability objectives
Analyse sales, customer, and market data to identify trends and pricing opportunities
Build and maintain pricing, forecasting, and demand elasticity models
Support the development of pricing optimisation tools using machine learning techniques
Monitor competitor pricing and market conditions to inform pricing decisions
Deliver clear and actionable pricing recommendations to key stakeholders
Collaborate with cross-functional teams to ensure pricing strategies support broader business goals
Continuously evaluate and improve pricing methodologies and analytical processes

What We're Looking For
Required Experience & Skills
Bachelor's degree in Economics, Statistics, Mathematics, Data Science, Business, or a related field
Experience within Pricing, Analytics, Revenue Management, Data Science, or a similar analytical role
Strong proficiency in SQL, Python, R, Excel, or equivalent analytical tools
Experience working with large and complex datasets
Understanding of pricing strategy, competitive analysis, and demand forecasting
Strong analytical and problem-solving capabilities
Excellent communication skills with the ability to explain complex findings to non-technical stakeholders