Job Specification: Pricing Analyst Salary: £50,000 – £65,000 + Benefits + Profit Share Bonus
Location: Kent – Hybrid / Flexible Working
Overview We are seeking a commercially minded Pricing Analyst to design, execute, and optimise data-driven pricing solutions that maximise profitability while balancing customer acquisition, retention, and competitive positioning.
The role will focus on developing innovative pricing strategies, managing significant revenue streams, and delivering actionable insights to senior stakeholders. You will work closely with cross-functional teams to align pricing approaches with wider business objectives, exploring new technologies and methodologies to drive sustainable, long-term growth.
Key Responsibilities
1. Identify and implement pricing opportunities to maximise profitability while maintaining competitive positioning
2. Analyse product performance, pricing trends, and conversion rates to guide strategy
3. Collaborate with internal teams and external partners to design, test, and launch new offerings
4. Optimise existing products by balancing revenue per unit with overall portfolio performance
5. Lead initiatives to improve customer acquisition, renewal rates, and cross-sell opportunities
6. Conduct A/B testing, scenario modelling, and predictive analysis to validate strategies
7. Monitor pricing performance and present insights in a clear, actionable format to non-technical stakeholders
8. Explore applications of AI and machine learning in pricing optimisation and automation
Skills & Experience Required:
9. Strong analytical and problem-solving skills with a track record of delivering pricing or commercial optimisation projects
10. Excellent communication skills and the ability to influence stakeholders across all levels
11. Proficiency in Excel/Google Sheets, SQL, and data visualisation tools (Power BI, Tableau, Looker, etc.)
12. Experience working with large datasets to extract insights for commercial decision-making
13. Knowledge of pricing methodologies, predictive modelling, and optimisation techniques
14. Familiarity with A/B testing and statistical analysis
15. Ability to manage multiple priorities in a fast-paced, collaborative environment
Desirable:
16. Understanding of product performance metrics, risk factors, and customer behaviour drivers
17. Exposure to AI and machine learning applications in pricing or revenue management
18. Experience working within a regulated environment
What You’ll Bring
19. A curious and growth-oriented mindset
20. High emotional intelligence and the ability to build strong working relationships
21. Resilience, adaptability, and a willingness to test, learn, and iterate
22. Commercial awareness with the ability to translate data into actionable business recommendations
Benefits
23. 25 days annual leave (+ bank holidays) plus Holiday Buy scheme and Birthday Day Off
24. Enhanced parental leave – up to 1 year with generous paid periods
25. Sabbaticals at service milestones
26. Gym discounts, private dental, and medical insurance (qualifying period applies)
27. Profit share bonus scheme and Aviva pension
28. Social club discounts on UK events and tech purchases
29. Volunteering scheme to give back to the community
30. Income protection, critical illness cover, and life assurance
Unfortunately, due to the high number of applications currently being received, only shortlisted candidates will be contacted.
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