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Senior Underwriting Analytics Analyst United Kingdom, Remote Pricing and Product

Remote / Online - Candidates ideally in
Newry, County Down, BT34, Northern Ireland, UK
Listing for: Animal Friends Pet Insurance Ltd
Remote/Work from Home position
Listed on 2026-03-04
Job specializations:
  • Insurance
Job Description & How to Apply Below

Following an internal promotion, our Pricing, Product & Underwriting Analytics team is looking for a technically strong Analytics Analyst with a solid data foundation and a commercial understanding of insurance pricing dynamics.

This is not an actuarial modelling or traditional case underwriting role.

We are looking for someone who can confidently map complex insurance data structures, query our Unified Analytics Database (UAD), and produce accurate, well-structured data extracts and reporting outputs. Beyond extraction, you’ll be expected to interrogate the data, identify trends and anomalies, and generate clear, commercially relevant insights that support underwriting performance and pricing decisions.

Working closely with our Technical Underwriting Manager, you’ll operate at the intersection of underwriting execution and pricing strategy. A key part of the role will be ensuring that our data structures, rating factors, premium components, and portfolio outputs accurately reflect how risk is assessed, segmented, and priced in practice.

You’ll play a critical role in strengthening the integrity of our underwriting analytics capability — improving data definitions, refining extract logic, validating rule implementation, and ensuring our reporting provides decision-grade insight to senior stakeholders.

This role would suit someone with an engineering mindset: detail-oriented, comfortable working close to source data, and motivated by building reliable analytical foundations that directly influence commercial outcomes.

What You’ll Be Doing:
  • Map and interpret complex, event-based insurance datasets (policies, premiums, claims, cancellations).
  • Write robust SQL queries to extract reliable datasets from the UAD.
  • Build repeatable reporting and structured analytical outputs.
  • Analyse underwriting and portfolio performance trends with pricing context in mind.
  • Improve data integrity, definitions, and analytics processes across underwriting systems.
What we are looking for
  • Strong data background in analytics or data engineering
  • Advanced SQL capability (complex joins, aggregations, structured dataset creation).
  • Experience working with insurance or pricing-related datasets (rating factors, premium components, loss metrics, risk segmentation).
  • Proven ability to map business logic into clean, usable analytical datasets.
  • Ability to translate data findings into commercially relevant insights for underwriting and pricing stakeholders.
What Animal Friends is all about!

A large part of our success is due to our company values which are the foundation of how we work, we are courageous by continually looking for new ways to innovate our customers experience and the pet insurance industry. We are kind-hearted with animal welfare being important to us, we donate and support over 300 charities across the UK and worldwide, to date, we have donated over £5.5 million.

And we are passionate about the support we provide to our customers helping them care for their pets.

Animal Friends Pet Insurance Ltd is an equal opportunities employer and we welcome applications from people of all ages, genders, ethnicities, nationalities, disabilities, religions, and sexual orientations. Your application will be dealt with in the strictest of confidence.

We offer accessibility help with application forms which is available via the jobs page of our website.

As an FCA regulated business, we require successful applicants to clear our pre-employment screening process which includes a credit check and references checks. Under the latest UK Right to Work regulations, we will require successful applicants to evidence their right to work in the UK, either in person, online, or digitally via a third party subject to circumstances.

Please be aware this advert will remain open until the vacancy has been filled rather than the advertised closing date. Interviews will take place throughout this period; therefore, we encourage you to apply early to avoid disappointment.

Hours

37.5

Competitive

23-03-2026

Apply now

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Position Requirements
10+ Years work experience
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