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- Tasks: Lead impactful pricing projects and optimise customer value in a dynamic insurance environment.
- Company: Join a leading UK employer transforming their Pricing & Analytics team.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Be at the forefront of innovative pricing strategies and make a real difference.
- Qualifications: Significant experience in insurance pricing and strong numerical skills required.
- Other info: Exciting chance to influence strategy and mentor upcoming analysts.
The predicted salary is between 36000 - 60000 £ per year.
Our client is going through a transformation and their Pricing & Analytics team is growing as they invest in new tools, technology and talent. They are moving away from traditional pricing models and creating their own! This is a fantastic time to join a leading UK employer and carve your role in the team sharing pricing strategy.
In this senior role, you’ll lead high-impact pricing projects that enhance customer value, optimise risk, and drive sustainable profitability. You’ll influence pricing strategy, mentor Analysts, and ensure their decisions balance competitive performance with delivering fair outcomes for customers.
Responsibilities:
- Lead the end-to-end delivery of high-value pricing and optimisation initiatives
- Analyse customer responses to price changes using advanced modelling and scenario analysis
- Drive improvements in customer lifetime value and retention outcomes
- Monitor competitor pricing and market trends to inform strategic decisions
- Ensure fair value is central to all pricing activity, particularly for existing customers
- Oversee data quality, process documentation and trading performance improvements
- Build strong relationships with stakeholders, influencing across teams and senior leadership
Requirements:
- Significant experience in insurance pricing, ideally in a senior or leadership role
- Strong numerical expertise (degree or equivalent proficiency in a quantitative discipline)
- Expertise in predictive modelling for risk and/or demand
- Proven ability to solve complex problems and take initiative
- Experience leading or coordinating small project teams
- Proficiency with analytical tools such as Python, SQL, R, SAS (desirable)
- Understanding of machine learning techniques and statistical methods relevant to insurance
You must be eligible and authorised to work in the UK, the client is unable to consider any visas. We may close this advert early due to high interest - if you’re keen to join us, please apply soon.
Locations
Principal Pricing Analyst in Cheshire, Warrington employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Pricing Analyst in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in pricing roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your analytical skills. Be ready to discuss how you've used data to drive pricing strategies in the past. Show us your problem-solving prowess!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. We recommend checking out our website for tailored opportunities that fit your expertise in insurance pricing.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. Share any additional insights or thoughts you have about the role to show your enthusiasm and commitment.
We think you need these skills to ace Principal Pricing Analyst in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Pricing Analyst role. Highlight your experience in insurance pricing and any leadership roles you've held. We want to see how your skills align with the responsibilities listed in the job description.
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 transformation. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Analytical Skills: Since this role involves advanced modelling and scenario analysis, make sure to highlight your numerical expertise and any experience with analytical tools like Python or SQL. We love seeing how you’ve used these skills to solve complex problems in the past!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Don’t wait too long though; we might close the advert early due to high interest!
How to prepare for a job interview at Datatech Analytics
✨Know Your Numbers
As a Principal Pricing Analyst, you'll need to showcase your strong numerical expertise. Brush up on key metrics and be ready to discuss how you've used data to drive pricing strategies in the past. Prepare examples that highlight your analytical skills and how they’ve led to successful outcomes.
✨Understand the Market
Familiarise yourself with current market trends and competitor pricing strategies. Be prepared to discuss how these insights can inform your approach to pricing and optimisation initiatives. Showing that you’re aware of the industry landscape will demonstrate your commitment and strategic thinking.
✨Showcase Your Leadership Skills
This role involves mentoring Analysts and leading projects, so be ready to share your experiences in leadership. Think of specific instances where you’ve influenced teams or driven projects to success. Highlight your ability to balance competitive performance with fair outcomes for customers.
✨Get Technical
Since proficiency in analytical tools like Python, SQL, R, or SAS is desirable, make sure you can discuss your experience with these technologies. If you’ve worked with predictive modelling or machine learning techniques, prepare to explain how you’ve applied them in real-world scenarios to solve complex problems.
