Customer Analytics Specialist

Search our opportunities to find your fit

Apply now Job no: 110529
Work type: Permanent Full Time
Location: Chester, George Street, Chester, Watergate Street, Newcastle Upon Tyne, Newcastle, Gosforth Centre, Head Office - Newcastle, Hybrid
Categories: Risk and Financial Modelling

Business Unit: Group Unsecured Lending
Salary range: £45,600 - £57,000 per annum DOE + benefits
Location: UK Hybrid – Regular travel to Chester or Newcastle hubs
Contract type: Permanent

Our Team

We have an exciting opportunity in the Unsecured Lending team to join a talented group of Analytical colleagues in driving commercial growth in combination with strong customer outcomes. The role is responsible for ensuring business performance and customer behaviours are understood, to support purpose led strategies and management of the unsecured lending business.

• Insights – into the unsecured lending business, combining low level portfolio performance insight with a macro view of external factors (including competitor activity).
• Optimisation – Utilising analytical platforms and data to provide insight and data led recommendations to support key business trading decisions.
• Financial Loss – evaluation of commercial and credit performance across unsecured lending, leveraging analytics to identify risks and opportunities, working with key stakeholders across the business.
• Transformation – Adopting a continuous improvement team mindset, identifying opportunities to improve efficiency through the adoption of new technologies, data, segmentation and advanced modelling.
• Working in a team of talented, dedicated colleagues, who can help you apply and develop these skills in a real-world environment.
• Partnering with key stakeholders and business partners, building relationships to obtain engagement and support in delivery of plans.

• A strong analytical mind, a self-starter and a willingness to learn and develop.
• Previous exposure to coding (SAS, SQL, Python, R) to include summarising and presenting large datasets
• Excellent numerical skills, be able to demonstrate the ability to interpret data incisively, clearly present the facts and influence outcomes through data led recommendations.
• Experience analysing and interpreting data to solve business problems
• Proven ability to build trusted relationships with a wide range of stakeholders at all levels, with experience of managing challenge and conflict.

• A degree from a Mathematical, Economic, or Science discipline.
• Experience with in financial services, with knowledge of the end-to-end economics, customer behaviour, strategy, credit reference agencies, sales funnels and drivers of product profitability.
• Proficiency coding with SAS, SQL and other languages

• 25 days holiday per year, increasing over time to 30. Plus, an option to buy more, giving you even more choice.
• Private medical insurance
• A highly competitive pension to help you build a strong foundation for retirement
• Access to an annual performance-related bonus
• Training and development to help you progress your career
• A great selection of additional benefits through our flexible benefits scheme
• Life assurance to provide peace of mind for you and your loved ones
• Up to 2 days of paid volunteering a year

If we’re lucky to receive a lot of interest, we may close the advert early. Please ensure to submit your applications as soon as possible.

Advertised: 22 Dec 2025 GMT Standard Time

Applications close: 09 Jan 2026 GMT Standard Time