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For Companies At a Glance
- Tasks: Shape pricing strategies and optimise discounts using data-led 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 fast-paced environment.
- Qualifications: Experience in pricing analytics, Python skills, and strong analytical mindset.
The predicted salary is between 40000 - 50000 £ 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 Analytics
Contact Detail:
Datatech Analytics 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 underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest in the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest roles we have available in one place.
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 reflects the skills and experience mentioned in the job description. Highlight your analytical skills, especially with Python and SQL, as these are key for the Pricing Discount Modelling Analyst role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about pricing analytics. Share specific examples of how you've used data to solve complex problems in previous roles, and show us your commercial awareness.
Showcase Your Technical Skills: Don’t forget to mention your experience with tools like Power BI, Tableau, or any statistical modelling tools you’ve used. We want to see how you can bring your technical expertise to our team!
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 in our Consumer Pricing team.
How to prepare for a job interview at Datatech Analytics
✨Know Your Numbers
As a Pricing Discount Modelling Analyst, you'll need to demonstrate your analytical skills. Brush up on key metrics and be ready to discuss how you've used data to influence pricing strategies in the past. Prepare examples that showcase your experience with predictive models and customer behaviour analysis.
✨Familiarise Yourself with Tools
Make sure you're comfortable discussing the tools mentioned in the job description, like Python, SQL, and Power BI. If you have experience with Snowflake or SAS, be prepared to explain how you've used these tools in your previous roles. Showing familiarity with these technologies will give you an edge.
✨Understand the Market
Research the company’s competitors and their pricing strategies. Be ready to discuss how market insights can shape pricing decisions. This shows that you’re not just focused on the numbers but also understand the broader business context, which is crucial for this role.
✨Communicate Clearly
You’ll need to explain complex data insights to both technical and non-technical stakeholders. Practice articulating your thoughts clearly and concisely. Use examples from your past experiences where you successfully communicated insights to different audiences, highlighting your strong communication skills.