
Lead Analyst - FS Product Analytics
- Liverpool
- Permanent
- Full-time
- Act as a subject matter expert (SME) for targeting and testing within the FS Product Analytics team, driving the optimisation of Sigma.iQ campaign activity through analysis and recommendations.
- Deliver commercial analysis to optimise FS credit offers and third-party FS product targeting, supporting FS Partnerships and Credit Product teams.
- Provide insights to support group targets, including retail sales, interest income, marketing ROI, and partnerships commission.
- Build and enhance processes to monitor and assess FS offer performance, measuring commercial impact and optimising future strategies and campaigns.
- Collaborate with Senior Credit Product Managers to develop new offers and campaigns aligned with group trading objectives.
- Maintain reporting on FS metrics and campaign activity, ensuring data accuracy and actionable insights.
- Design and monitor Sigma.iQ campaigns, ensuring commercial viability and continuous improvement.
- Develop and maintain reporting on Sigma.iQ campaigns and FS offer performance, including retail and FS metrics, to inform strategy and testing.
- Present recommendations for future testing, process improvements and strategies to senior stakeholders, ensuring alignment with group trading objectives.
- Collaborate with Data Science to leverage advanced analytics (e.g. segmentation, modelling, AI) to improve campaign performance.
- Represent the FS Credit Product team in cross-functional meetings, using insights to influence retail trading and FS P&L decisions.
- Prepare reports for the Board and committees on FS offer performance to guide decision-making.
- Support FS Product & Marketing projects, as well as broader FS and Retail initiatives.
- Build relationships across FS Marketing, Finance, Data Science, and Retail teams to align initiatives with business goals.
- Mentor and develop Senior Analysts within the FS Product Analytics team.
- A self-starter with a degree in a numerate/analytical discipline (e.g., economics, mathematics, accounting) or 5+ years of experience in an analytical role, preferably in Online Retail and Financial Services.
- Proficient in SQL, SAS, or equivalent, with strong MS Excel and Office skills.
- Experience in customer segmentation, test-and-control methodologies, and advanced analytics (e.g. AI, machine learning) desirable.
- Strong numerical and analytical skills, with the ability to identify trends and present actionable insights.
- Ability to translate complex data into concise formats for diverse audiences.
- Solid understanding of Financial Services, Retail and database marketing environments.
- Ability to work under pressure, manage tight deadlines, and adapt to changing priorities.
- Flexible, hybrid working model
- Inclusive culture and environment, check out
- £1000 flexible benefits allowance to suit your needs
- 30 days holiday + bank holidays
- Udemy learning access
- Bonus potential (performance and business-related)
- Up to 25% discount on Very.co.uk
- Matched pension up to 6%
- More benefits can be found