At a Glance
- Tasks: Lead advanced pricing analytics and shape commercial strategies using data-driven insights.
- Company: Fast-growing tech company transforming fleet and fuel management with innovative solutions.
- Benefits: Competitive salary, bonus, and the chance to influence AI adoption in a dynamic environment.
- Other info: Exciting opportunity for career growth in a rapidly evolving sector.
- Why this job: Join a collaborative culture where your ideas can make a real impact on business growth.
- Qualifications: 8-10+ years in pricing analytics, strong SQL and Python skills, and advanced financial modelling experience.
The predicted salary is between 75000 - 90000 € per year.
Our client is a fast-growing, technology-led business operating within the fleet, fuel and mobility sector. With a strong reputation for innovation and customer service, they are transforming the way businesses manage fuel, fleet operations and commercial performance through data-driven solutions and smart technology. Following a decade of consistent organic growth, the business is entering an exciting new phase focused on product expansion, strategic partnerships and AI-enabled customer management solutions.
Why join?
- Join a highly profitable, agile business with ambitious growth plans
- Play a key role in shaping commercial strategy and future product direction
- Work closely with senior leadership in a business where decisions happen quickly
- Opportunity to influence AI adoption and commercial transformation projects
- Be part of a collaborative, entrepreneurial culture where ideas genuinely make an impact
The Role
This is a highly analytical and commercially focused Head of Pricing Analytics role sitting at the heart of our client’s pricing, revenue and commercial decision-making. You will take ownership of advanced pricing analysis, modelling and forecasting across a complex, high-volume fuel and non-fuel product environment. Working closely with senior leadership, finance and product teams, you will help shape how pricing strategies are built, tested and optimised across thousands of customers. This is a hands-on, technically advanced role where you will be expected to move seamlessly between deep analytical work and commercial storytelling.
Key responsibilities include:
- Leading advanced pricing analytics across fuel and associated product portfolios
- Building and maintaining forecasting and scenario models to support commercial decision-making
- Developing and automating financial and revenue models to improve margin performance and customer value
- Using SQL and Python to extract, manipulate and analyse large and complex datasets
- Creating dashboards and visual outputs using BI/visualisation tools to communicate insights clearly to senior stakeholders
- Supporting commercial strategy through data-led insight, pricing optimisation and performance analysis
- Working closely with Finance on revenue forecasting, business cases and margin analysis
- Contributing to the evolution of pricing infrastructure, tools and analytical capability across the business
This role is ideal for someone who enjoys solving complex commercial problems through data, modelling and structured analytical thinking.
Your Experience
Our client is looking for a highly analytical pricing or commercial data professional with strong technical capability and a deep understanding of how pricing, revenue and customer behaviour interact. You will likely bring:
- 8–10+ years’ experience in pricing analytics, revenue management or similar data-led commercial roles
- Strong hands-on experience with SQL and Python for data extraction, analysis and modelling
- Advanced financial modelling and forecasting experience, ideally within a commercial or revenue-driven environment
- Strong understanding of pricing mechanics, margin optimisation and customer value drivers
- Experience building and maintaining complex datasets, models or analytical frameworks
- Ability to translate complex analysis into clear, commercial insights for senior stakeholders
- Experience using BI/visualisation tools (e.g. Power BI, Tableau or similar)
Next Steps
This Head of Pricing Analytics opportunity is already generating strong interest and is unlikely to be on the market for long. If you would like to find out more, please apply today or get in touch for a confidential conversation. We are happy to provide advice and additional insight into the opportunity and hiring process.
Head of Pricing employer: KDR Talent Solutions
Join a dynamic and innovative technology-led business in Birmingham, where you will play a pivotal role in shaping the future of pricing strategies within the fleet, fuel, and mobility sector. With a collaborative culture that values entrepreneurial spirit and rapid decision-making, you'll have the opportunity to influence AI adoption and contribute to exciting commercial transformation projects, all while enjoying competitive compensation and growth opportunities in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Pricing
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to pricing analytics. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical skills.
✨Tip Number 3
Showcase your technical skills! Be ready to discuss your experience with SQL and Python, and even bring examples of your work. If you’ve created dashboards or models, have them handy to demonstrate your capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always here to help you navigate the process and provide insights into what we’re looking for.
We think you need these skills to ace Head of Pricing
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Head of Pricing role. Highlight your experience with pricing analytics, SQL, and Python, and don’t forget to showcase any relevant achievements that demonstrate your analytical prowess.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell your story. Use it to explain why you’re passionate about pricing analytics and how your skills align with our client’s goals. Keep it concise but impactful!
Showcase Your Analytical Skills:In your application, be sure to mention specific projects where you’ve used advanced pricing analysis or financial modelling. We want to see how you’ve tackled complex problems and what tools you used to get there.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Numbers
As a Head of Pricing, you'll need to demonstrate your analytical prowess. Brush up on key metrics related to pricing strategies, revenue management, and customer behaviour. Be ready to discuss how you've used data to drive decisions in previous roles.
✨Showcase Your Technical Skills
Make sure you can talk confidently about your experience with SQL and Python. Prepare examples of how you've used these tools for data extraction and analysis. If possible, bring along a portfolio or examples of dashboards you've created using BI tools like Power BI or Tableau.
✨Understand the Business Landscape
Research the company’s position within the fleet, fuel, and mobility sector. Familiarise yourself with their products and recent innovations. This will help you tailor your answers and show that you're genuinely interested in contributing to their growth.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think of complex commercial problems you've solved in the past and be ready to explain your thought process, the models you used, and the outcomes achieved.
