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- Tasks: Support price optimisations and analyse customer responses to pricing changes.
- Company: Award-winning insurance company undergoing transformation with a growing team.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Join a leading UK employer and shape innovative pricing strategies.
- Qualifications: Experience in insurance pricing and proficiency in Python, SQL, or similar tools.
- Other info: Dynamic environment with strong team collaboration and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
Manchester based role, hybrid working 2-3 days. £Competitive Salary & package.
You must be eligible to work in the UK, the client cannot consider any visas.
Our award winning 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.
Responsibilities- Support and deliver value-adding price optimisations
- Analyse customer response to price changes using impact and scenario modelling
- Conduct competitor and market analysis
- Ensure fair value is delivered for customers
- Reconcile data, document processes and refine trading performance
- Build strong relationships across teams and stakeholders
- Experience in insurance pricing
- Experience with Python, SQL, R, SAS or similar tools
- Strong numerical skills (degree or equivalent proficiency)
- Knowledge of risk/demand modelling and statistical techniques
- Problem-solving ability and initiative
- Understanding of machine learning techniques
Applications may close early due to high interest, apply soon!
Pricing Analyst / Senior – Insurance in Manchester employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst / Senior – Insurance in Manchester
✨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 technical skills. Make sure you can confidently discuss your experience with Python, SQL, or any other tools mentioned in the job description. Practice makes perfect!
✨Tip Number 3
Showcase your analytical mindset! Be ready to share examples of how you've used data to drive pricing decisions or optimise strategies. Real-life stories can make you stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Pricing Analyst / Senior – Insurance in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Pricing Analyst role. Highlight your experience in insurance pricing and any relevant tools like Python or SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our transformation. Be genuine and let your personality come through.
Showcase Your Analytical Skills: Since this role involves a lot of analysis, make sure to showcase your numerical skills and any experience with risk/demand modelling. We love seeing examples of how you've used these skills in past roles!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can't wait to hear from you!
How to prepare for a job interview at Datatech Analytics
✨Know Your Numbers
As a Pricing Analyst, you'll need to showcase your strong numerical skills. Brush up on your statistical techniques and be ready to discuss how you've used data analysis in previous roles. Prepare examples of how you've optimised pricing strategies or conducted market analysis.
✨Get Familiar with Tools
Make sure you're comfortable discussing Python, SQL, R, or SAS. If you have experience with these tools, think of specific projects where you applied them. If you're less familiar, consider doing a quick online course or tutorial to get a basic understanding before the interview.
✨Understand the Market
Research the current trends in the insurance market and be prepared to discuss how they might impact pricing strategies. This shows that you're proactive and genuinely interested in the role. Bring insights about competitors and how their pricing models differ from what you envision.
✨Build Relationships
Since the role involves collaborating with various teams, think about how you can demonstrate your ability to build strong relationships. Prepare examples of how you've worked cross-functionally in the past and how you plan to engage with stakeholders in this new role.
