Job Details

Senior Statistical Analyst

Sussex Burgess Hill United Kingdom, RH150 £45,000 - £50,000 , Permanent

Posted: 19 hours ago


Senior Statistical Analyst

Burgess Hill

£45,000 to £50,000 + Benefits

We are currently recruiting for a Senior Statistical Analyst to join our client's Pricing Team team, based near Burgess Hill. The role works on a flexible working basis of 1-2 days per week in the office and the rest from home.

Working for an established insurer with a first class reputation for customer experience, the successful candidate will form part of a positive, passionate team, with excellent benefits on offer as well.

The opportunity has arisen due to a new insurance product being introduced, and will focus on building new predictive models using linear / non-linear statistical techniques, as well as monitoring / maintaining and updating existing statistical models in the business. You will also provide insight and analysis to the company in order to develop their competitive advantage.


  • Produce regular business analysis reports.
  • Write new analysis code using SAS, RADAR, and other software packages.
  • Build predictive models using SAS, EMBLEM, and other software packages.
  • Ad-hoc project work providing analysis to the business.
  • Analyse business issues to find solutions to and make recommendations to improve profitability.
  • Train and develop new or graduate Analysts.


  • Numerate Graduate with minimum 2:1 degree.
  • Pricing/Analytics experience gained in a General Insurance environment.
  • Ideally, you will come from a Household/Home Insurance background, but other GI lines of business will be considered.
  • Knowledge of SAS, Emblem or Radar is essential for the role.
  • People and project management skills.
  • Strong Modelling experience.
  • Excellent communication (verbal & written) and influencing skills.

Keywords: Statistical Analyst; Data Analyst; Pricing; Analytics; Modelling; SAS; RADAR; EMBLEM

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Job Details

Burgess Hill, Sussex, United Kingdom
£45,000 - £50,000