At a Glance
- Tasks: Shape pricing strategy and analyse data to optimise profitability.
- Company: Join a high-performing commercial finance team in a growing industry.
- Benefits: Competitive salary, pension, life assurance, health services, and free onsite perks.
- Other info: Career progression opportunities in a dynamic, international business.
- Why this job: Make a real impact on multi-million-pound projects and drive commercial decisions.
- Qualifications: Experience with data analysis; confidence in Excel and Power BI is a plus.
The predicted salary is between 40000 - 50000 £ per year.
Due to continued growth and internal movement, an opportunity has arisen for a Pricing Analyst to join a high-performing commercial finance team. You will play a key role in shaping pricing strategy, supporting major transformation projects and directly influencing profitability across global markets.
This is a commercially focused analytical role where you will use data to help the business optimise pricing, improve margins and support strategic decision-making.
- Analyse pricing, sales and margin data to identify trends and opportunities
- Support the development and implementation of pricing strategy
- Work closely with sales teams to guide pricing decisions and improve deal quality
- Monitor pricing performance, identifying areas of margin erosion or improvement
- Produce insightful reports and dashboards using tools such as Power BI
- Maintain and update pricing structures within CRM and ERP systems
- Contribute to a major system transformation project (Oracle CPQ migration)
- Support commercial decision-making on high-value, global contracts
Experience working with data, ideally in a commercial, finance or analytical role:
- Confidence using tools such as Excel and Power BI (or similar)
- Ability to interpret data and communicate insights clearly to non-technical stakeholders
- Experience in pricing, manufacturing or commercial analysis is beneficial—but not essential
Working Hours - 40 hours per week
~33 days per year including bank holidays
~ Stakeholder pension scheme – Employer 6% Employee minimum 3%
~ Life Assurance Scheme (Death in Service Benefit)
~ Employee Assistance Program
~ Free onsite car parking
~ Canteen facilities, including free tea/ coffee/ filtered water
High-growth industry – be part of expanding data centre and AI-driven markets
Commercial impact – influence pricing decisions on multi-million-pound projects
Career progression – opportunities across a large international business with clear development pathways
Modern tools & data – leverage Power BI, CRM systems and advanced analytics
Influence real commercial decisions that drive revenue and profitability
Locations
Pricing Analyst Analyst in Fife, Scotland employer: Morgan Ryder
Contact Detail:
Morgan Ryder Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst Analyst in Fife, Scotland
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by researching the company and its pricing strategies. We recommend practising common interview questions and having your own questions ready to show your interest and insight into their operations.
✨Tip Number 3
Showcase your analytical skills! Bring examples of how you’ve used data to drive decisions in past roles. We love seeing candidates who can translate numbers into actionable insights, especially in a commercial context.
✨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 looking for talent that can help us shape pricing strategies and drive profitability.
We think you need these skills to ace Pricing Analyst Analyst in Fife, Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Pricing Analyst role. Highlight your experience with data analysis, pricing strategies, and any tools like Excel or Power BI that you've used. 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 analysis and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your analytical skills.
Showcase Your Analytical Skills: In your application, don’t forget to highlight specific examples of how you've used data to drive decisions in previous roles. We love seeing how you've identified trends or improved margins, so make those achievements stand out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining the StudySmarter family!
How to prepare for a job interview at Morgan Ryder
✨Know Your Numbers
As a Pricing Analyst, you'll be dealing with data all the time. Brush up on your analytical skills and be ready to discuss how you've used data to influence pricing decisions in the past. Be prepared to share specific examples of trends you've identified and how they impacted profitability.
✨Familiarise Yourself with Tools
Make sure you're comfortable with tools like Excel and Power BI. If you can, practice creating reports or dashboards before the interview. Being able to demonstrate your proficiency with these tools will show that you're ready to hit the ground running.
✨Understand the Business
Research the company’s pricing strategies and recent projects. Knowing their market position and challenges will help you tailor your answers and show that you're genuinely interested in contributing to their success. It’ll also give you a chance to ask insightful questions.
✨Communicate Clearly
You’ll need to explain complex data insights to non-technical stakeholders. Practice simplifying your explanations and using relatable examples. This will demonstrate your ability to bridge the gap between data and decision-making, which is crucial for this role.