Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead analysis and optimisation of FS Product campaigns, driving insights and recommendations.
- Company: Join The Very Group, a company dedicated to helping families enjoy life with flexible payment options.
- Benefits: Enjoy a hybrid working model, £1000 benefits allowance, 30 days holiday, and discounts on products.
- Why this job: Be part of a dynamic team that values growth, purpose, and collaboration in a supportive culture.
- Qualifications: Degree in a numerate field or 5+ years in analytics; SQL and advanced analytical skills preferred.
- Other info: Flexible interview process with a focus on inclusivity and equal opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Internal use only – Grade E
About us
We areThe Very Groupand we’re here to help families get more out of life. We know that our customers work hard for their families and have a lot to balance in their busy lives. That’s why we combine amazing brands and products with flexible payment options onVery.co.ukto help them say yes to the things they love. We’re just as passionate about helping our people get more out of life too; building careers with real growth, a sense of purpose, belonging and wellbeing.
About the Role
- 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.
· Work cross-functionally with teams across the business to achieve Sigma.iQ OKRs
- 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.
Key Responsibilities
- 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.
About you
- 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.
Some of our benefits
- Flexible, hybrid working model
- Inclusive culture and environment, check out our Glassdoor reviews
- £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 foundon our career site
How to apply
Please note that the talent acquisition team are managing this vacancy directly, and if successful in securing this role, you will be required to undertake a credit, CIFAS, Right to Work checks and if a specific requirement of your role a DBS (criminal records) check. Should your application progress we require you to let the team know if there is anything you need to disclose in relation to any of these checks prior to them being undertaken, including any unspent criminal convictions.
What happens next?
Our talent acquisition team will be in touch if you’re successful so keep an eye on your emails! We’ll arrange a short call to learn more about you, as well as answer any questions you have. If it feels like we’re a good match, we’ll share your CV with the hiring manager to review. Our interview process is tailored to each role and can be in-person or held remotely.
You can expect a two-stage interview process for this position:
1st Stage – Initial Teams call with Hiring Team.
2nd Stage– A one-hour formal interview where you can expect both competency and technical questions (based on a task we will ask you to prepare for.
Please do let us know if you require any reasonable adjustments.
Equal opportunities
We’re an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#J-18808-Ljbffr
Lead Analyst - FS Product Analytics employer: Very Group
Contact Detail:
Very Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analyst - FS Product Analytics
✨Tip Number 1
Familiarise yourself with Sigma.iQ and its functionalities. Understanding how this platform works will give you an edge in discussions during the interview, showcasing your proactive approach and genuine interest in the role.
✨Tip Number 2
Brush up on your SQL and SAS skills, as these are crucial for the Lead Analyst position. Consider working on sample datasets to demonstrate your analytical capabilities and problem-solving skills during the interview.
✨Tip Number 3
Prepare to discuss your experience with customer segmentation and test-and-control methodologies. Be ready to provide specific examples of how you've applied these techniques in previous roles to drive results.
✨Tip Number 4
Network with current or former employees of The Very Group on platforms like LinkedIn. Gaining insights into the company culture and expectations can help you tailor your responses during the interview process.
We think you need these skills to ace Lead Analyst - FS Product Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Lead Analyst role. Focus on your analytical background, proficiency in SQL or SAS, and any experience in online retail or financial services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how it can drive business decisions. Mention specific examples of past projects where you optimised campaign performance or provided actionable insights.
Highlight Key Skills: Emphasise your numerical and analytical skills, as well as your ability to translate complex data into concise formats. Mention any experience with customer segmentation and advanced analytics techniques like AI or machine learning.
Prepare for Interviews: Anticipate both competency and technical questions during the interview process. Be ready to discuss your previous analytical roles, how you've collaborated with cross-functional teams, and your approach to problem-solving in high-pressure situations.
How to prepare for a job interview at Very Group
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Lead Analyst in FS Product Analytics. Familiarise yourself with Sigma.iQ campaigns and how they optimise financial services products. This will help you answer questions confidently and demonstrate your knowledge.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with SQL, SAS, and advanced analytics. Be ready to provide examples of how you've used these skills in previous roles, particularly in customer segmentation and campaign performance analysis.
✨Prepare for Technical Questions
Since the interview includes technical questions, practice explaining complex data concepts in simple terms. You might be asked to present insights or recommendations based on hypothetical data scenarios, so brush up on your presentation skills.
✨Demonstrate Cross-Functional Collaboration
Highlight your experience working with different teams, such as Marketing, Finance, and Data Science. Be prepared to discuss how you've influenced decisions using data insights and how you can build relationships across departments.
