At a Glance
- Tasks: Drive data-led initiatives and optimise pricing strategies for a leading finance provider.
- Company: Join Aubay UK, a dynamic digital services company with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Shape commercial outcomes and make a real impact in a high-visibility role.
- Qualifications: Experience in data science and strong stakeholder engagement skills required.
- Other info: Be part of a collaborative team driving transformation in the finance sector.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Aubay is seeking a Senior Commercial Analyst for their client, a leading finance provider partnering with major UK retailers. This role sits at the centre of the client’s commercial and data strategy, driving value through pricing optimisation, experimentation, and insight‑led decision‑making. Acting as a Data Product Owner, you will oversee the development of high‑impact data products, enhance profit quality, and shape the analytical roadmap that supports both commercial performance and customer outcomes. Reporting directly to the CEO, you will work closely with senior stakeholders, commercial directors, and partner teams to influence strategy and deliver measurable impact.
You will lead a multidisciplinary analytics team to modernise BI capabilities—from Excel to Tableau—build advanced dashboards, segmentation systems, and experimentation frameworks, and strengthen the full credit lifecycle across digital and in‑store journeys. As a key representative in joint governance forums with the client’s retail partners, you will champion data quality, promote analytical best practices, and ensure all initiatives meet Consumer Duty, FCA, and conduct‑related requirements. This position is both strategic and hands‑on, offering the opportunity to shape commercial outcomes and drive transformation within a high‑visibility partnership environment.
Required Skills and Experience- Own pricing strategy across APR tiers, promotional structures, and eligibility rules.
- Run pricing experiments using rigorous statistical frameworks and clearly defined guardrails.
- Deliver measurable improvements in sales, NBI, acceptance rates, and overall customer value.
- Build and manage a joint test‑and‑learn operating model with the customer.
- Lead A/B and multivariate testing across in‑store, web, and app journeys.
- Standardise metrics, instrumentation, measurement methodologies, and read‑out cadence.
- Develop and deliver a roadmap of test‑driven enhancements across digital journeys, store experience, and CLM/CRM.
- Develop high‑impact dashboards, scorecards, and segmentation systems.
- Utilise the existing client relationships to produce actionable, partner‑ready insights.
- Champion data quality, consistent definitions, and analytical enablement across teams.
- Lead multi‑disciplinary teams across insight, analytics, and experimentation.
- Influence decisions across Commercial, Product, Digital, Risk, and Financial Promotion teams.
- Operate within joint customer governance forums to mobilise change quickly and safely.
- Ensure all initiatives comply with Consumer Duty, FCA, affordability, and Financial Promotion requirements.
- Maintain full auditability of pricing decisions and all experimentation activities.
- Experience across both B2B and B2C commercial environments.
- Ability to identify and evaluate new partnerships, customer propositions, and commercially viable price points.
- Capability to align analytics with marketing strategy to maximise customer and partner value.
- Strong stakeholder‑engagement skills, suitable for high‑visibility conversations with leaders.
- Comfortable supporting and driving a full organisational uplift in reporting, insight generation, and data‑driven decision‑making.
- Act as a Data Product Owner, shaping and driving data‑led initiatives.
- Strong background in Data Science, with the ability to translate analytical output into commercial action.
- Improve the quality of profit through insight‑driven decision‑making.
- Lead and manage a high‑performing team, reporting directly to the CEO.
- Excellent communication skills, with the ability to influence senior stakeholders internally and externally.
- Maintain strong partner relationships, particularly with a retail client, ensuring aligned commercial and analytical priorities.
- Own and deliver commercial requirements that support partner growth.
- Demonstrate awareness of Consumer Duty and its implications for customer outcomes and regulatory standards.
- Support marketing teams by leveraging data to improve customer experience and commercial performance for the customer.
- Drive BI modernisation by leading the transition from Excel‑based reporting to Tableau.
- Proficiency in Excel and Tableau.
Senior Customer Insight Analyst employer: Aubay UK
Contact Detail:
Aubay UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Customer Insight Analyst
✨Tip Number 1
Network like a pro! Reach out to connections in the finance and analytics sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their data strategy and how you can contribute to it. Tailor your responses to show how your experience aligns with their goals—this will make you stand out!
✨Tip Number 3
Showcase your skills through practical examples. Bring along a portfolio of your work or case studies that demonstrate your analytical prowess and how you've driven commercial success in previous roles. This is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search—so go ahead and hit that apply button!
We think you need these skills to ace Senior Customer Insight Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Customer Insight Analyst role. Highlight relevant experience in data analysis, pricing strategies, and stakeholder engagement. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention your experience with BI tools like Tableau!
Showcase Your Analytical Skills: In your application, be sure to showcase your analytical skills and any experience with experimentation frameworks. We love candidates who can demonstrate their ability to drive insights and influence decision-making.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Aubay UK
✨Know Your Numbers
As a Senior Customer Insight Analyst, you'll need to demonstrate your analytical prowess. Brush up on key metrics related to pricing optimisation and customer value. Be ready to discuss how you've used data to drive decisions in past roles.
✨Showcase Your Leadership Skills
This role involves leading a multidisciplinary analytics team. Prepare examples of how you've successfully managed teams and influenced stakeholders. Highlight your experience in driving change and modernising BI capabilities.
✨Understand the Client's Business
Familiarise yourself with the finance provider's operations and their partnerships with UK retailers. Being able to speak knowledgeably about their business model and challenges will show that you're genuinely interested and prepared.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills, especially around experimentation and measurement. Think of specific scenarios where you've implemented A/B testing or developed dashboards, and be ready to explain your thought process.