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Pricing Analyst

Harnham - Data & Analytics Recruitment
Posted a day ago, valid for 11 days
Location

London, Greater London EC1R 0WX

Salary

£40,000 - £48,000 per annum

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Contract type

Full Time

Retirement Plan

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Pricing Analyst position offers a salary of up to £35,000 and requires experience in a pricing, analytics, or financial role.
  • This remote role involves shaping pricing strategies for a leading travel insurance provider by analyzing market trends and competitor pricing.
  • Key responsibilities include designing pricing models, analyzing large datasets, performing competitive analysis, and generating reports for senior leadership.
  • Candidates should have a Bachelor's degree in finance, Economics, Mathematics, or a related STEM field, along with strong analytical skills and familiarity with tools like SQL and Python.
  • The position includes a benefits package and a contributory pension scheme, with occasional travel to the London office.

PRICING ANALYST

UP TO £35,000

REMOTE

This role does not offer sponsorship.

As a Pricing Analyst, you will be key in shaping and refining pricing strategies to boost competitive advantage while maintaining profitability. By analysing market trends, customer insights, and competitor pricing, you will support informed decision-making and help drive broader business strategy.

THE COMPANY

This company is a leading provider of travel insurance products. They are dedicated to transforming the industry with unique and cutting-edge technologies and customer-centric products.

THE ROLE

You will be doing the following daily:

  • Support the design and implementation of pricing models and strategies for travel insurance products.
  • Analyse large datasets to uncover trends, customer behaviour, and pricing opportunities, leveraging Generalized Linear Models (GLM).
  • Employ tools like Emblem and Radar to create, test, and optimise pricing algorithms and models.
  • Perform competitive analysis to assess market positioning and identify areas for potential enhancement.
  • Generate and present regular reports on pricing performance, market trends, and strategic recommendations to senior leadership.
  • Partner with underwriting, marketing, and product teams to ensure pricing strategies are aligned with overall business goals.
  • Assist in the forecasting process by analysing historical data and projecting future pricing trends.
  • Ensure all pricing strategies adhere to relevant regulations and industry standards.

YOUR SKILLS AND EXPERIENCE

  • Bachelor's degree in finance, Economics, Mathematics, or a related STEM field.
  • Experience in a pricing, analytics, or financial role.
  • Experience in the insurance or travel industry.
  • Strong analytical data skills, Excel, SQL, R, Python are desirable.
  • Knowledge of pricing strategies and market dynamics within travel insurance.
  • Excellent written and verbal communication skills.

THE BENEFITS

  • Up to £35,000 salary.
  • Remote working, with once-a-month travel to the London office (expensed).
  • Benefits package.
  • Contributory pension scheme with a generous employer contribution.

HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.