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- Tasks: Analyse pricing strategies and support commercial decisions with data-driven insights.
- Company: Join a respected financial services organisation focused on consumer needs.
- Benefits: Hybrid work model, competitive salary, and opportunities for career growth.
- Other info: Collaborative environment with strong focus on professional development.
- Why this job: Make a real impact on pricing decisions and drive business performance.
- Qualifications: Degree in a numerical subject and experience in analytics or pricing.
The predicted salary is between 35000 - 45000 £ per year.
An exciting chance to join a developing team, with endless opportunity to grow the role and your position within the business. Working for a highly respected, consumer-driven financial services organisation, this role offers significant opportunity to influence pricing decisions across the business, helping to shape acquisition and retention performance, profitability and customer outcomes.
This is a hands-on analytical role where your work directly supports real commercial decisions from modelling and optimisation through to forecasting and governance. We're looking for someone who enjoys working with numbers, looking at tactical pricing reviews and data manipulation. You'll be working in an exciting, fast-paced environment, looking at products and ways to drive revenue within the business. If you enjoy solving complex pricing challenges, working with data and seeing your insight landed in live pricing decisions, this role offers a strong next step in your career within a high performing, technically capable team.
Responsibilities include:
- Support delivery of consumer pricing strategy and initiatives, driving trading performance and profitability
- Build and enhance pricing models to predict customer behaviour
- Analyse price trials and competitor pricing data to support pricing optimisation
- Create forecasting models and clearly explain weekly and annual variance
- Reconcile, validate and prepare datasets to ensure pricing analysis and modelling inputs are robust
- Monitor pricing model performance over time and recommend corrective action where required
- Ensure all pricing activity aligns with FCA regulatory guidance
- Work closely with other squads in the business, including collaboration with the Pricing, Finance, Marketing and Insights teams
- Build strong working relationships with compliance colleagues to ensure pricing remains fair and compliant
Skills required:
- Degree in a numerical subject
- Experience in pricing, analytics or a relevant field such as Insurance, Banking or Finance, or a strong academic focus
- Solid understanding of pricing and analytical techniques
- Highly numerate with strong analytical and problem-solving capability
- Experience with visualisation tools such as Power BI or Tableau/ strong Excel
- If you have experience with Python or R this would be advantageous however is not essential for this role
- Strong delivery focus when handling complex analytical challenges
- Confident stakeholder management skills, being a strong communicator and able to build trust and credibility
- Commercially minded with good financial acumen
If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes!
Locations
Pricing Analyst (Trade) in Bath, Somerset employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst (Trade) in Bath, Somerset
✨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 analysis. Use real examples from your experience to showcase your skills and how you can add value to the team.
✨Tip Number 3
Showcase your analytical skills! Bring along a portfolio of your work or case studies that demonstrate your ability to solve complex pricing challenges. This will help you stand out as a candidate who can deliver results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Pricing Analyst (Trade) in Bath, Somerset
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Pricing Analyst role. Highlight your experience with pricing models, data analysis, and any relevant tools like Power BI or Excel. 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 and how your analytical skills 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 showcase your analytical prowess. Mention specific projects or experiences where you’ve tackled complex pricing challenges or used data to drive decisions. We’re all about those numbers!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Datatech Analytics
✨Know Your Numbers
As a Pricing Analyst, you'll be working with data all day long. Brush up on your numerical skills and be ready to discuss how you've used data in past roles. Prepare examples of how you've built pricing models or analysed competitor data to support your insights.
✨Understand the Business
Familiarise yourself with the company’s pricing strategy and recent initiatives. Research their products and market position. This will not only help you answer questions but also show that you're genuinely interested in how you can contribute to their success.
✨Showcase Your Analytical Skills
Be prepared to discuss specific analytical techniques you've used in previous roles. Whether it's forecasting models or data validation, have concrete examples ready. If you've worked with tools like Power BI or Excel, highlight your experience and any impactful projects you've completed.
✨Communicate Effectively
Strong communication is key in this role. Practice explaining complex analytical concepts in simple terms. Be ready to demonstrate how you've built relationships with stakeholders in the past, as collaboration with various teams will be crucial in this position.