Principal/Senior Pricing Analyst - Insurance in Warrington

Principal/Senior Pricing Analyst - Insurance in Warrington

Warrington Full-Time 60000 - 75000 € / year (est.) Home office (partial)
Datatech Analytics

At a Glance

  • Tasks: Lead pricing initiatives and analyse customer behaviour using advanced modelling techniques.
  • Company: A leading UK organisation transforming its Pricing & Analytics capability.
  • Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Mentor junior analysts and collaborate with senior stakeholders in a dynamic environment.
  • Why this job: Shape the future of pricing strategy and make a real impact in a growing analytics function.
  • Qualifications: Strong experience in insurance pricing and solid quantitative modelling skills.

The predicted salary is between 60000 - 75000 € per year.

We’re working with a leading UK organisation that is transforming its Pricing & Analytics capability. The business is making significant investment in modern tools, technology, and talent to move beyond traditional pricing approaches and build more advanced, data-driven pricing strategies. This is an excellent opportunity to take ownership of high-impact initiatives and play a key role in shaping the future of pricing strategy within a growing analytics function.

The Role

  • Lead end-to-end pricing and optimisation initiatives
  • Analyse customer behaviour and price sensitivity using advanced modelling techniques
  • Improve customer lifetime value, retention, and trading performance
  • Monitor competitor pricing and wider market trends
  • Support fair value outcomes for customers
  • Mentor and support junior analysts
  • Collaborate closely with senior stakeholders across the business

What we’re looking for

  • Strong experience in insurance pricing at a senior or lead level
  • Solid quantitative and statistical modelling background
  • Experience in risk and/or demand modelling
  • Proven ability to lead projects or mentor analysts
  • Strong technical skills in Python, SQL, R, or SAS (desirable)
  • Exposure to machine learning techniques is an advantage

Applicants must have the right to work in the UK (no visa sponsorship available).

Interested candidates are encouraged to apply early, as this role may close due to high demand.

Principal/Senior Pricing Analyst - Insurance in Warrington employer: Datatech Analytics

Join a forward-thinking organisation in Manchester that prioritises innovation and employee development. With a hybrid work model, competitive salary, and a commitment to advanced analytics, this company fosters a collaborative culture where your expertise in pricing can truly shine. You'll have the opportunity to lead impactful projects while mentoring junior analysts, all within a supportive environment that values your growth and contributions.

Datatech Analytics

Contact Detail:

Datatech Analytics Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal/Senior Pricing Analyst - Insurance in Warrington

Tip Number 1

Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to pricing analysis. We recommend using the STAR method to structure your answers – it helps you showcase your experience effectively.

Tip Number 3

Show off your skills! If you’ve got experience with Python, SQL, or any other relevant tools, be ready to discuss specific projects where you used them. Real examples make a big impact!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Principal/Senior Pricing Analyst - Insurance in Warrington

Insurance Pricing
Quantitative Modelling
Statistical Modelling
Risk Modelling
Demand Modelling
Project Leadership
Mentoring

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Principal/Senior Pricing Analyst role. Highlight your experience in insurance pricing and any relevant quantitative skills. We want to see how your background aligns with our needs!

Showcase Your Skills:Don’t just list your technical skills; show us how you've used them in real-world scenarios. Whether it's Python, SQL, or advanced modelling techniques, give us examples of how you've led projects or mentored others.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing strategy and how you can contribute to our analytics function. We love seeing enthusiasm and a clear understanding of the role.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!

How to prepare for a job interview at Datatech Analytics

Know Your Numbers

As a Principal Pricing Analyst, you'll need to demonstrate your strong quantitative skills. Brush up on your statistical modelling techniques and be ready to discuss how you've applied them in previous roles. Prepare examples of how you've analysed customer behaviour and price sensitivity.

Showcase Your Leadership Skills

This role involves mentoring junior analysts and leading projects. Think of specific instances where you've taken charge or guided others. Be prepared to share your approach to leadership and how you foster collaboration among team members.

Stay Ahead of Market Trends

Familiarise yourself with current trends in the insurance market and competitor pricing strategies. Bring insights to the interview about how these trends could impact pricing strategies. This shows you're proactive and engaged with the industry.

Technical Proficiency is Key

Make sure you're comfortable discussing your technical skills in Python, SQL, R, or SAS. If you have experience with machine learning techniques, highlight that too! Be ready to explain how you've used these tools to drive pricing initiatives in the past.