At a Glance
- Tasks: Analyse data to improve customer strategies and report on performance.
- Company: Join a forward-thinking financial services company focused on fair lending.
- Benefits: Enjoy 25 days holiday, private medical insurance, and discounts through Perkbox.
- Why this job: Make a real impact on customer outcomes while working in a dynamic team.
- Qualifications: Strong analytical skills with experience in SQL or Python; degree preferred but not essential.
- Other info: Casual dress code and vibrant company culture with regular social events.
The predicted salary is between 36000 - 60000 £ per year.
We're working with a forward-thinking financial services business that's genuinely passionate about doing the right thing for its customers. They've built a strong reputation for fair, affordable lending and now they're looking for an Operations Strategy Analyst to join their high-performing team. This role sits within the wider Operations Analytics function but is embedded directly in the Servicing team. It's a great opportunity for someone who enjoys variety, thrives on solving problems with data, and wants to make a real impact on both customer outcomes and business performance.
Using rich data sets, you'll help shape and refine collections and communication strategies tailored to different customer profiles. This means understanding customer behaviour and designing approaches that are both effective and empathetic. A key part of the role is ensuring that all strategies align with industry regulations and consistently deliver fair, positive outcomes for customers. Compliance and customer care go hand in hand here. You'll also be responsible for reporting on collections performance and looking at recovery rates, the impact of different strategies, and the overall customer experience. This insight will help guide future decisions and improvements. Continuous testing and optimisation are central to the role. You'll regularly review and refine strategies to improve results, reduce risk, and ensure the business is always moving forward with data-backed decisions.
Your ability to present insights clearly—whether to technical teams or non-technical stakeholders—will be crucial. Your work will directly influence how the business approaches collections and customer engagement. On a broader level, you'll support the wider Operations team by building and maintaining dashboards and reports that provide essential visibility into performance. These tools will help teams across the business make smarter, more informed decisions. You'll also handle ad-hoc data requests and collaborate with colleagues to understand their needs, translating them into actionable analytics that support operational improvements and strategic planning.
You might come from an academic background with a degree that has a strong quantitative focus, or perhaps you've developed your skills through hands-on, real-world experience. Either way, what really matters here is your ability to think analytically and communicate your insights clearly and effectively. Ideally, you'll have some experience in Collections Analytics or Collections Strategy, and you're someone who's comfortable taking ownership of your work and driving it forward. If you've worked in financial services, utilities, or telecoms, that's definitely a plus—but it's not essential.
To succeed in this role, you'll need solid experience with SQL or Python (or both). If you've worked with other tools or platforms, that's great too—we're open to different approaches. You should have a sharp analytical mindset, with the ability to turn raw data into meaningful insights and actionable strategies. Strong communication skills are also key. You'll need to be able to adapt your message depending on your audience—whether you're speaking with a technical team or presenting to senior stakeholders. And just as importantly, you should be proactive. This isn't a role where you'll be waiting for instructions—you'll be expected to spot opportunities and take the lead. It would be a bonus if you've worked in Operations or have experience with personal loans. Familiarity with data visualisation tools like Power BI, Tableau, or Quicksight is also a nice-to-have, but not a requirement.
In addition to a competitive salary, employees are eligible for a discretionary annual bonus scheme that rewards performance. You'll start with 25 days of holiday plus bank holidays, with your allowance increasing each year up to a maximum of 28 days. Life cover is provided at four times your basic salary, and there's a dental scheme that reimburses costs within pre-agreed limits. Health and wellbeing are a priority, with access to private medical insurance through Bupa, income protection, and the Help@Hand service, which offers free GP appointments and counselling support. The company also offers a cycle-to-work scheme and a salary sacrifice pension plan to help you save for the future. You'll have access to Perkbox, which includes hundreds of discounts on well-known brands, and there's also the option to take paid volunteering time if you'd like to get involved with local charities through the Charities Committee. The dress code is casual—wear what makes you feel comfortable and confident in delivering great customer service. And when it comes to culture, there's plenty to enjoy. The Social Committee keeps things lively with events throughout the year, including quiz nights, team-building activities, and both summer and winter parties.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Data Strategy Analyst employer: Jobtraffic
Contact Detail:
Jobtraffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Strategy Analyst
✨Tip Number 1
Familiarise yourself with the financial services industry, especially in collections analytics. Understanding the nuances of customer behaviour and compliance regulations will give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your abilities.
✨Tip Number 3
Prepare to discuss how you've used data to drive decisions in previous roles. Be ready to share specific examples of how your insights led to improved outcomes, particularly in customer engagement or operational efficiency.
✨Tip Number 4
Practice presenting complex data insights in a clear and engaging manner. Tailor your communication style to different audiences, as this skill is essential for the role and will likely be assessed during the interview process.
We think you need these skills to ace Data Strategy Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Strategy Analyst role. Emphasise your analytical abilities, experience with SQL or Python, and any background in collections analytics or strategy.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your understanding of customer behaviour. Mention specific examples of how you've used data to influence outcomes in previous roles.
Showcase Communication Skills: In your application, demonstrate your ability to communicate complex insights clearly. Use examples where you've successfully presented data findings to both technical and non-technical audiences.
Highlight Proactivity: Illustrate instances where you've taken initiative in your previous roles. This could include identifying opportunities for improvement or leading projects that required analytical thinking and problem-solving.
How to prepare for a job interview at Jobtraffic
✨Showcase Your Analytical Skills
As a Data Strategy Analyst, your ability to think analytically is crucial. Prepare examples of how you've used data to solve problems or improve processes in previous roles. Be ready to discuss specific tools like SQL or Python that you've used to derive insights.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex data findings in simple terms, as you may need to present to both technical teams and non-technical stakeholders. Tailor your message based on your audience to ensure clarity.
✨Demonstrate Proactivity
This position requires someone who takes ownership of their work. Be prepared to discuss instances where you've identified opportunities for improvement and taken the initiative to implement changes. Show that you're not just waiting for instructions but are eager to drive results.
✨Familiarise Yourself with the Company’s Values
Understanding the company's commitment to fair and affordable lending will help you align your answers with their values. Research their approach to customer care and compliance, and be ready to discuss how you can contribute to these goals through your role.