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- Tasks: Transform data into actionable insights for pricing strategy and senior stakeholders.
- Company: Leading UK insurer with a focus on innovation and analytics.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on pricing strategies and contribute to profitable growth.
- Qualifications: Strong SQL skills and experience in pricing or insurance analytics.
- Other info: Join a small team in a dynamic environment with great career prospects.
The predicted salary is between 48000 - 72000 £ per year.
A leading UK insurer is seeking a Pricing Data & Analytics Lead to develop pricing MI and analytics, transforming data into actionable insights for senior stakeholders. The ideal candidate will leverage strong SQL skills and experience in pricing or insurance analytics. This role offers exposure to pricing strategy within a small team and supports flexible hybrid working across London and Surrey, delivering impactful analytics that contribute to profitable growth.
Pricing Analytics Lead — Own Strategic Insights (Hybrid) employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analytics Lead — Own Strategic Insights (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and analytics space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your SQL skills! Prepare a mini-project or case study that highlights your analytical prowess. Bring it up in interviews to demonstrate your hands-on experience.
✨Tip Number 3
Research the company’s pricing strategies. Understanding their approach will help you tailor your insights during interviews, showing you’re genuinely interested in their business.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Pricing Analytics Lead — Own Strategic Insights (Hybrid)
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used it to drive insights in previous roles, especially in pricing or insurance analytics.
Tailor Your Experience: When writing your application, focus on your relevant experience in pricing and analytics. We love seeing how your background aligns with the role, so don’t hold back on those key achievements!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences shine through without unnecessary fluff.
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!
How to prepare for a job interview at Eames Consulting
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, especially in relation to pricing analytics. They’ll want to see that you can transform data into actionable insights, so think of specific examples where your SQL expertise made a difference.
✨Understand the Insurance Landscape
Familiarise yourself with current trends and challenges in the insurance industry. This will not only help you answer questions more effectively but also show that you're genuinely interested in the field. Bring up any relevant news or changes in pricing strategies that could impact their business.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your analytical thinking and problem-solving skills. Think about how you would approach real-world pricing challenges and be ready to explain your thought process clearly. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Team Collaboration Skills
Since this role involves working within a small team, highlight your experience in collaborative environments. Share examples of how you've successfully worked with stakeholders to deliver impactful analytics. Emphasise your ability to communicate complex data insights in a way that’s understandable for non-technical audiences.
