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- Tasks: Shape pricing strategies and optimise discounts using data-driven insights.
- Company: Major UK business with a high-performing Consumer Pricing team.
- Benefits: Hybrid working, strong development opportunities, and exposure to senior stakeholders.
- Other info: Collaborative culture focused on continuous improvement and innovation.
- Why this job: Make a real impact on pricing decisions in a dynamic environment.
- Qualifications: Experience in pricing analytics, Python, SQL, and strong analytical skills.
The predicted salary is between 35000 - 45000 £ per year.
We are looking for a commercially minded Pricing Discount Modelling Analyst to join a high-performing Consumer Pricing team within a major UK business. This is a fantastic opportunity to play a key role in shaping pricing and discounting strategy, helping drive acquisition, retention, profitability, and customer value through data-led insight and modelling. Working within a fast-paced and highly competitive environment, you will support the development of innovative pricing solutions using customer behaviour analysis, forecasting, and market insight to improve trading performance and support strategic business decisions.
The Role
You will work closely with Pricing, Finance, Marketing, Insights, and Compliance teams to develop and monitor pricing models, optimise discounting strategies, and support commercial performance across the Consumer division. This role offers strong exposure across the business and the opportunity to influence key pricing decisions within a regulated environment.
Key Responsibilities
- Support the delivery of pricing and discounting initiatives across the Consumer business
- Develop and maintain predictive models focused on customer behaviour, retention, and pricing optimisation
- Analyse competitor pricing and customer data to improve pricing performance
- Reconcile, validate, and process large datasets efficiently
- Monitor model performance and recommend improvements where needed
- Develop forecasting models and explain variances against budget and forecast
- Work collaboratively with implementation, compliance, finance, and marketing teams
- Ensure pricing activity aligns with FCA guidance and governance processes
Skills & Experience
- Experience within Pricing Analytics, Pricing Modelling, Discount Modelling, or a similar analytical role
- Background in Insurance, Financial Services, Banking, or another regulated environment beneficial
- Strong analytical and problem-solving skills with a highly numerate mindset
- Must have experience with Python
- Experience with SQL, Snowflake, SAS, or similar coding tools
- Experience using Power BI or Tableau
- Exposure to R, Emblem, Radar, or other statistical modelling tools advantageous
- Understanding of pricing techniques such as GLMs/GBMs beneficial
- Strong communication and stakeholder management skills
About You
We are looking for someone who is curious, commercially aware, and motivated by solving complex business challenges through data and analytics. You will also demonstrate:
- A proactive and delivery-focused approach
- Strong collaboration and relationship-building skills
- Continuous improvement mindset
- Ability to communicate insights clearly to technical and non-technical stakeholders
Why Join?
- Opportunity to influence commercially critical pricing decisions
- Exposure to senior stakeholders across the business
- Collaborative and forward-thinking team environment
- Hybrid working with flexibility
- Strong opportunity for development and progression within Pricing & Analytics
If you're passionate about pricing analytics, modelling, and using data to influence commercial outcomes, we'd love to hear from you.
Pricing Discount Modelling Analyst in Bristol employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Discount Modelling Analyst in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to pricing analytics. We recommend using real-life examples from your experience to showcase your skills.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role.
✨Tip Number 4
Apply through our website for the best chance of landing the job. We love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Pricing Discount Modelling Analyst in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Pricing Discount Modelling Analyst. Highlight your experience with pricing analytics, modelling, and any relevant tools like Python or SQL. We want to see how your skills align with 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 passionate about pricing strategies and how your analytical mindset can contribute to our team. Keep it engaging and make it personal – we love a bit of personality!
Showcase Your Analytical Skills: In your application, don’t forget to mention specific examples where you've used data to drive decisions or improve performance. We’re all about data-led insights, so let us know how you’ve made an impact in previous roles!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. 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 platform!
How to prepare for a job interview at Datatech
✨Know Your Numbers
As a Pricing Discount Modelling Analyst, you'll need to demonstrate your analytical skills. Brush up on key metrics related to pricing and discounting strategies. Be ready to discuss how you've used data to influence decisions in previous roles.
✨Showcase Your Technical Skills
Make sure you highlight your experience with Python, SQL, and any other relevant tools like Power BI or Tableau. Prepare examples of how you've applied these skills in real-world scenarios, especially in developing predictive models or analysing customer behaviour.
✨Understand the Business Landscape
Familiarise yourself with the company's market position and competitors. Be prepared to discuss how external factors can impact pricing strategies. This shows that you're not just technically savvy but also commercially aware.
✨Communicate Clearly
You'll be working with various teams, so it's crucial to convey complex insights in an understandable way. Practice explaining your past projects to someone without a technical background. This will help you demonstrate your strong communication skills during the interview.