Supporting partners and lawyers with their decision-making on any aspects of pricing.
General
The firm in question are now looking to hire a Pricing Analyst who will be supporting the Pricing Lead and Pricing Manager within the Legal Operations Pricing & Analysis team across the UK, US and EMEA region with all daily functions.
Our client is a truly international law firm with offices in all the major business location across the globe.
Posted by Ambition Europe Limited • £50K/yr to £60K/yr
As the Pricing Analyst some of your duties will include -
Support the Pricing Manager regarding pricing and fee arrangement queries as and when required, for example, preparation of RFP responses and other presentations, and participation in presentations (internally and directly to clients).
Amazing opportunity as a Pricing Analyst in a top law firm!
Posted by Harnham - Data & Analytics Recruitment • £30K/yr to £35K/yr
Up to £35,000; Hybrid - London
A great opportunity to join a leading insurance provider as a Pricing Analyst
The business are a leading provider of travel insurance products and they have been dedicated to transforming this space with new technologies and customer-centric focused products.
Execute all rate renegotiations by adjusting pricing to optimise revenue with the aim to exceed minimum profitability and key KPIs set out in the top level strategy and service line objectives
Collaborate with the sales team to acquire customer and market insights to assist in executing all professional rate renegotiations
Ensure all rate renegotiations are aligned to segment standards and tracked regularly
Posted by Opus People Solutions • £60K/yr to £65K/yr
We've multiple exciting opportunities for Pricing Analysts and Senior Pricing Analysts to join the Retail Pricing team with our presitgious insurance based client.
You'll be involved in day-to-day analysis, modelling, and development of pricing recommendations alongside BAU analytics, with the support of more senior colleagues.
You'll contribute to projects that continually improve the predictive power and segmentation of statistical models of claims and demand, using both traditional and data science and contemporary techniques.