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For Companies At a Glance
- Tasks: Analyse data to optimise our ÂŁ1.3B credit portfolio and drive business insights.
- Company: Join Next, a leading FTSE-100 fashion retailer with a global presence.
- Benefits: Enjoy 25% off products, performance bonuses, and flexible working options.
- Why this job: Make a real impact using data in a dynamic and supportive environment.
- Qualifications: 2+ years in an analyst role with strong data analysis skills.
- Other info: Collaborate with diverse teams and grow your career in a well-known brand.
The predicted salary is between 36000 - 54000 ÂŁ per year.
About us
You know Next, but did you know we’re a FTSE-100 retail company employing over 35,000 people across the UK and Ireland? We’re the UK’s 2nd largest fashion retailer and for Kidswear we’re the market leader. At the last count we have over 500 stores, plus the Next Online and it’s now possible to buy on-line from over 70 countries around the world! So we’ve gone global!
Your role
Location: Head Office, Leicestershire (Hybrid working 1 day a week in the office)
Salary: Up to ÂŁ45,000 base plus bonus & benefits
At Next we have a great opportunity for an analyst to join our growing Credit and Risk Analytics team within Finance. As a team, we are responsible for analysing and setting the lending strategy for all aspects of our £1.3B credit portfolio and using data to drive insight on how we can optimise our customer proposition and business profit. You’ll be at the heart of understanding our 3 million credit customers and designing, testing and implementing strategy changes to help grow our business.
This is a brilliant opportunity for someone who has great data analysis skills and a real curiosity about solving business problems. You may currently be in a similar role, or have a minimum of 2 years working in an insight based strategy role. You’ll need to be the kind of person who enjoys getting stuck into complex problems, confidently analysing a range of data using industry standard tools (e.g. SQL, Python, Databricks, Excel, PowerBI) and working on cross functional projects to deliver great products for our customers.
If you’re excited about using data to drive real business impact, our Credit & Risk Insight Analyst role is a great place to develop your career within a growing business and well known brand!
You will:
- Produce regular reporting and carry out ad hoc analyses. Comment on trends, adding value through contributing ideas and solutions to any problems or opportunities identified.
- Identify risks and opportunities in the current processes and rules through complex analysis, using multiple data sources.
- Collaborate with Senior Analysts within the team to deliver suitable portfolio strategies. This could be across contact centre, marketing, customer experience, and tech. Work towards becoming an expert on credit risk and data and represent the commercial value and regulatory aspects of lending activity.
- Build and present reporting and monitoring relating to credit risk at internal meetings where required.
About you
- You will have a minimum of 2 years experience of working in an analyst position (ideally in consumer lending / financial services) and have a highly numerate/analytical background.
- You will be a natural problem solver and enjoy working logically.
- You will have an eye for detail and the drive to get under the skin of complex business challenges, joining the dots across multiple sources of insight.
- You will enjoy working with a diverse multi-discipline team to deliver results at pace.
- You will have experience of working with SQL or Databricks; Python is a bonus.
- You will have strong verbal and written communication skills, to most effectively present your insights and gain buy-in to implement change.
This isn’t a checklist and we don’t expect you to tick every box, but a strong desire to learn fast, get stuck in and deliver value is essential. If you think that sounds like you, then we’d love to hear from you and find out if a career at Next could be your next great move!
Benefits
- 25% off most NEXT, MADE*, Lipsy*, Gap* and Victoria's Secret* products (*when purchased through NEXT)
- Company performance based bonus
- Sharesave scheme
- On-site Nursery available; OFSTED outstanding in all areas
- 10% off most partner brands & up to 15% off Branded Beauty
- Early VIP access to sale stock
- Access to fantastic discounts at our Staff Shops
- Restaurants with great food at amazing prices
- Access a digital GP and other free health and wellbeing services
- Free on-site parking
- Financial Wellbeing - Save, track and enhance your financial wellbeing
- Apprenticeship - Grow and develop on the job whilst gaining a qualification
- Direct to Work - Discount online and instore, collect your items the next day for free from your place of work or local store
- Support Networks - Access to Network Groups to empower and celebrate each other
- Wellhub - Discounted flexible monthly gym memberships, with apps, PT sessions and more
Conditions apply to all benefits. These benefits are discretionary and subject to change.
We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email headoffice_careers@next.co.uk (please include 'Workplace Adjustments' in the subject line), or call us on 0116 284 2486 and leave a voicemail.
Apply Before: 01/26/2026
For further information, and to apply, please visit our website via the “Apply” button below.
Consumer Credit Insight Analyst employer: Next plc
Contact Detail:
Next plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consumer Credit Insight Analyst
✨Tip Number 1
Get your networking game on! Reach out to current or former employees at Next on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview like it’s the final exam! Research Next’s credit portfolio and think about how your skills in SQL, Python, and data analysis can help them optimise their strategies. Show them you’re not just another candidate!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you’ve tackled complex problems in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them memorable.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your excitement about the role can leave a lasting impression. Plus, it shows you’re genuinely interested in joining the team at Next.
We think you need these skills to ace Consumer Credit Insight Analyst
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with data analysis tools like SQL, Python, or Excel. We want to see how you've used these skills to solve real business problems, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to credit risk and analytics. It shows us you’re genuinely interested in the position!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and structure your thoughts logically. We appreciate a well-organised application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Next plc
✨Know Your Data Tools
Make sure you brush up on your skills with SQL, Python, and Databricks. Be ready to discuss how you've used these tools in past roles to analyse data and drive insights. Having specific examples at hand will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Understand the Business
Take some time to research Next and its credit portfolio. Familiarise yourself with their lending strategies and recent trends in consumer credit. This knowledge will help you demonstrate your genuine interest in the role and how you can contribute to optimising their customer proposition.
✨Prepare for Problem-Solving Questions
Expect to be asked about complex business challenges you've faced in the past. Prepare a couple of solid examples where you identified risks or opportunities through data analysis. Highlight your logical approach and how you collaborated with others to implement solutions.
✨Communicate Clearly
Strong verbal and written communication skills are key for this role. Practice explaining your insights in a clear and concise manner. You might even want to prepare a short presentation on a relevant topic to showcase your ability to present data-driven insights effectively.