At a Glance
- Tasks: Develop and manage data-driven pricing solutions for our insurance business.
- Company: Join Holiday Extras, a leader in creating memorable travel experiences.
- Benefits: Enjoy 25 days annual leave, gym discounts, and a profit share bonus.
- Why this job: Be part of a supportive team driving growth and innovation in insurance.
- Qualifications: Strong analytical skills, proficiency in Excel/SQL, and knowledge of insurance pricing.
- Other info: Flexible working options available to support your work-life balance.
The predicted salary is between 44000 - 52000 £ per year.
Salary £52,000 - £65,000 + Benefits + Profit Share Bonus
Office-based at the HX Campus in Newingreen, Kent
Closing date: 30th May 2025
We care deeply about inclusive working practices and diverse teams. If you’d prefer to work part-time or as a job-share, we’ll facilitate this wherever we can — whether to help you meet other commitments or to help you strike a great work-life balance.
About
We’re looking for a Pricing Analyst who can develop, execute, and manage data-driven pricing solutions for the Holiday Extras insurance business. This role involves maximizing profit and return while balancing policy volumes and scheme performance, aligning with our business strategy. The Pricing Analyst will test and deliver innovative solutions, monitor performance, and communicate complex insights to stakeholders. They will translate business requirements into pricing strategies and provide analysis to support our insurance objectives.
The Role
- Be part of a talented, supportive team driving growth within our insurance business.
- Identify and implement pricing opportunities while enhancing your technical skills in pricing strategy and analysis.
- Support portfolio growth by optimizing existing products and collaborating to explore, test, and launch new offerings.
- Manage revenue streams, maximize profit per policy, and maintain conversion across channels.
- Improve renewal performance and ensure competitive, compliant pricing.
- Collaborate on customer acquisition and cross-sell initiatives.
- Review performance, identify improvement areas, and implement high-impact ideas.
- Drive sustainable, long-term performance in our insurance business.
- Explore emerging technologies like AI and machine learning for pricing and automation enhancements.
What you can bring to our team:
- Strong analytical, problem-solving, and decision-making skills for dynamic pricing solutions.
- Excellent communication and stakeholder engagement skills.
- High emotional intelligence and collaborative mindset.
- Resilience and proactivity in fast-paced environments.
- Curiosity and growth-oriented mindset, with a willingness to test and learn.
- Knowledge of insurance pricing, regulations, and governance frameworks.
- Proficiency in Excel/Google Sheets, SQL, and data visualization tools (Power BI, Tableau, Looker).
- Ability to work with large datasets and extract insights for decision-making.
- Familiarity with pricing strategies, predictive modeling, optimization, and A/B testing.
- Understanding of insurance products and risk factors.
- Interest in AI and machine learning applications in insurance pricing.
We encourage all qualified individuals to apply, even if your experience doesn’t exactly match all criteria, to discover your unique talents.
How we hire for this role
- Initial online chat with our team
- Role-related data analysis task
- Face-to-face interview at the HX Campus
We are committed to diversity and inclusion. If you need accommodations, please contact recruitment@holidayextras.com.
Why choose Holiday Extras?
We create products and services that make travel memorable and fun. Our mission is to be your go-to for holiday extras, offering unparalleled choice, value, and service, turning trips into extraordinary experiences. We foster a workplace where everyone can thrive, build careers, and reach their potential. Join us and enjoy a range of benefits to support your lifestyle and well-being.
Time off: 25 days annual leave (+BHs), Holiday Buy, Birthday Day Off, Sabbaticals.
Parental Leave: Up to 1 year, including 13 weeks at full pay.
Well-being: Gym discounts, private dental and medical insurance (after 4 years).
Recognition: Profit Share Bonus, pension scheme.
Extras: Social Club discounts, tech discounts, volunteering schemes.
Financial security: Income protection, critical illness, life assurance.
Contact Detail:
Holiday Extras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insurance Pricing Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in insurance pricing and data analysis. Understanding how AI and machine learning can enhance pricing strategies will set you apart, especially since we value innovation in our team.
✨Tip Number 2
Network with professionals in the insurance industry, particularly those who specialise in pricing. Engaging in conversations about current challenges and solutions can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your analytical skills and past experiences in a way that highlights your problem-solving abilities. Be ready to share specific examples of how you've used data to drive decisions or improve outcomes in previous roles.
✨Tip Number 4
Showcase your proficiency in tools like Excel, SQL, and data visualisation software during discussions. Being able to demonstrate your technical skills will reassure us of your capability to handle large datasets and extract meaningful insights.
We think you need these skills to ace Insurance Pricing Analyst
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Insurance Pricing Analyst position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Skills: Emphasise your analytical, problem-solving, and decision-making skills in your CV and cover letter. Mention specific tools you are proficient in, such as Excel, SQL, and data visualisation software, as these are crucial for the role.
Showcase Your Experience: Provide examples of past experiences where you successfully implemented pricing strategies or worked with large datasets. Use quantifiable achievements to demonstrate your impact in previous roles.
Craft a Compelling Cover Letter: Write a personalised cover letter that reflects your enthusiasm for the role and the company. Discuss your interest in AI and machine learning applications in insurance pricing, as this aligns with the company's focus on innovation.
How to prepare for a job interview at Holiday Extras
✨Showcase Your Analytical Skills
As an Insurance Pricing Analyst, your analytical prowess is key. Be prepared to discuss specific examples of how you've used data to drive pricing decisions in the past. Highlight any experience with SQL or data visualisation tools like Power BI or Tableau.
✨Communicate Complex Insights Clearly
You'll need to convey complex pricing strategies to various stakeholders. Practice explaining your previous projects in simple terms, focusing on the impact of your work. This will demonstrate your communication skills and ability to engage with different audiences.
✨Demonstrate Curiosity and a Growth Mindset
The role requires a willingness to explore new technologies like AI and machine learning. Share instances where you've embraced new tools or methodologies in your work. This shows you're proactive and eager to learn, which aligns with the company's values.
✨Prepare for Role-Related Tasks
Expect a data analysis task as part of the recruitment process. Brush up on your technical skills and be ready to showcase your problem-solving abilities. Practising with sample datasets can help you feel more confident during this part of the interview.