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Pricing Analyst

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Datatech Analytics
Full Time position
Listed on 2026-06-08
Job specializations:
  • Finance & Banking
    Financial Analyst, Risk Manager/Analyst, Actuary
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

We're partnering with a leading UK insurer that is investing significantly in the transformation of its Pricing & Analytics function. This is an exciting opportunity for an experienced pricing professional to play a key role in delivering innovative pricing strategies, influencing commercial outcomes, and helping drive the next generation of pricing capability.

Joining a high-performing analytics team, you'll have the opportunity to work with advanced pricing techniques, modern analytical tools, and large-scale data to support strategic business decisions.

The Role

As a Senior Pricing Analyst, you'll take ownership of complex pricing projects and provide valuable insight to support profitable growth. You'll work closely with a range of stakeholders, helping to shape pricing strategy and deliver measurable business impact.

Key Responsibilities
  • Developing and implementing pricing strategies to optimise profitability and customer outcomes
  • Leading in-depth analysis of customer behaviour, demand, and pricing performance
  • Conducting competitor and market analysis to identify commercial opportunities and risks
  • Building and enhancing pricing models to improve predictive capability and decision-making
  • Presenting insights and recommendations to senior stakeholders across the business
  • Supporting the continuous improvement of pricing methodologies, processes, and analytical capabilities

We're looking for a commercially minded analyst with a strong technical background and proven experience within insurance pricing.

Qualifications
  • Experience in a pricing role within the insurance sector
  • Strong analytical and statistical modelling skills
  • Proficiency in Python, SQL, R, SAS, or similar analytical tools
  • A degree in Mathematics, Statistics, Economics, Actuarial Science, or another quantitative discipline
  • Experience working with risk modelling, demand modelling, or price optimisation techniques
  • The ability to communicate complex analysis clearly to both technical and non-technical stakeholders
  • Exposure to machine learning techniques would be advantageous
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