At a Glance
- Tasks: Support price optimisation and analyse customer responses to pricing changes.
- Company: Join a leading insurance firm focused on innovation and growth.
- Benefits: Competitive salary, flexible working options, and opportunities for professional development.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Make a real impact by optimising pricing strategies in a dynamic market.
- Qualifications: Strong numerical skills and experience in insurance pricing preferred.
The predicted salary is between 40000 - 50000 £ per year.
Assist in supporting the end-to-end delivery of value adding Price Optimisations.
Investigation of customers’ responses to price variations via impact analysis and scenario modelling.
Understanding and improving customer lifetime value outcomes.
Competitor analysis and understanding market activity.
Qualifications Required:
- Excellent numerical mathematical skills (a degree in a mathematics related discipline or evidence of equivalent proficiency).
Experience Required:
- Experience in a related Insurance Pricing role is strongly preferred.
- Knowledge of predictive modelling for Risk and/or Demand models.
- Knowledge of tools such as Python, SQL, R, SAS or other analytical languages/tools are desirable.
Pricing Analyst / Senior Pricing Analyst / Principal Pricing Analyst – 29259 in Manchester employer: The Emerald Group Ltd, Search and Selection
Contact Detail:
The Emerald Group Ltd, Search and Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst / Senior Pricing Analyst / Principal Pricing Analyst – 29259 in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the insurance pricing field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience with Python, SQL, or R, consider creating a small project or analysis to showcase your abilities. Share it on your portfolio or LinkedIn to grab attention.
✨Tip Number 3
Prepare for interviews by brushing up on your numerical skills and understanding of price optimisation. Be ready to discuss how you’ve used data to drive decisions in past roles – real examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Pricing Analyst / Senior Pricing Analyst / Principal Pricing Analyst – 29259 in Manchester
Some tips for your application 🫡
Show Off Your Numbers Game: Make sure to highlight your excellent numerical and mathematical skills in your application. If you've got a degree in a maths-related field or can prove your proficiency, let us know! We love seeing how you can crunch those numbers.
Experience is Key: If you've got experience in an Insurance Pricing role, shout about it! We want to see how your background aligns with what we're looking for. Don’t forget to mention any relevant projects or achievements that showcase your skills.
Get Technical: We’re keen on candidates who know their way around tools like Python, SQL, R, or SAS. If you’ve used these in your previous roles, make sure to include that in your application. It’ll show us you’re ready to dive into the analytical side of things!
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 don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at The Emerald Group Ltd, Search and Selection
✨Brush Up on Your Numbers
Since the role requires excellent numerical skills, make sure you’re comfortable with mathematical concepts and can demonstrate your proficiency. Practise explaining complex numerical data in simple terms, as this will show your analytical thinking.
✨Know Your Tools
Familiarise yourself with Python, SQL, R, or SAS, as these are key tools for the role. Be prepared to discuss any projects where you've used these tools, and if possible, bring examples of your work to showcase your skills.
✨Understand Price Optimisation
Research price optimisation strategies and be ready to discuss how you would approach investigating customer responses to price changes. Think about real-world scenarios and how you would model them to provide insights.
✨Competitor Analysis Insights
Stay updated on market trends and competitor pricing strategies. Prepare to share your thoughts on how these factors influence customer lifetime value and how you would apply this knowledge in your role.