Data Analyst, Collections
Data Analyst, Collections

Data Analyst, Collections

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Support collections operations by analysing data and improving processes.
  • Company: Join Zopa Bank, a pioneer in peer-to-peer lending and innovative finance.
  • Benefits: Flexible working, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact in finance while developing your analytical skills.
  • Qualifications: Experience with SQL, Python, and Excel; strong problem-solving abilities.
  • Other info: Diverse workplace culture with a focus on collaboration and work-life balance.

The predicted salary is between 36000 - 60000 £ per year.

Join to apply for the Data Analyst, Collections role at Zopa Bank. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank, a bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance and empowering everyone to aim high every day.

The Opportunity

We’re looking for a curious and detail-oriented Data Analyst to join our collections team. You’ll play a key role in supporting Zopa’s collections operations by running and improving processes, generating insights, and ensuring we have the right data and MI to make smart decisions. You’ll use your technical skills in SQL, Python, and Excel to deliver accurate, valuable analysis that helps us better support our customers and improve outcomes.

What You’ll Be Doing

  • Executing and improving existing team processes, ensuring quality and consistency.
  • Using SQL to extract and prepare data for stakeholders across the business.
  • Performing analysis within a defined scope using Python and Excel, validating outputs and clearly communicating findings.
  • Applying problem-solving and investigative skills to identify issues and propose practical solutions.
  • Owning and coordinating key team processes, including generating reports, MI, and data-driven controls.

About You

  • You’re comfortable working with SQL, Python, and Excel, and you enjoy applying these tools to solve business problems.
  • You deliver analysis with accuracy and attention to detail, and you take sensible steps to validate your work.
  • You’re curious, proactive, and always looking for ways to improve processes or make things work better.
  • You take ownership of your work and escalate issues when needed, while striving to build your skills and knowledge further.
  • You understand how business metrics, product performance, and system architecture relate to your analysis.
  • You can prioritise tasks with your manager, follow an agreed plan, and maintain momentum to deliver on time.
  • A self-starter with a growth mindset – you ask questions, seek feedback, and are eager to learn.
  • A problem solver who can spot when something doesn’t look right and enjoys digging into the data.
  • A collaborator who shares knowledge and works effectively with others to get things done.
  • Someone who cares about the detail, but also sees the bigger picture of how your work supports Zopa’s customers and mission.
  • A bonus if you have current or recent fintech, finance, banking exposure.

At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week. You’ll also have the option of working from abroad for up to 120 days a year! But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one.

Diversity Statement

Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Analyst, Collections employer: Zopa Bank

At Zopa Bank, we pride ourselves on being an innovative employer that champions a flexible work culture and prioritises employee well-being. Our London-based team enjoys the unique advantage of hybrid working, allowing for a balance between collaboration in the office and the freedom to work remotely, even from abroad for up to 120 days a year. We are committed to fostering a diverse and inclusive environment where every employee can thrive, grow their skills, and contribute meaningfully to our mission of redefining finance.
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Contact Detail:

Zopa Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst, Collections

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Zopa Bank on LinkedIn. A friendly chat can give you insider info about the company culture and maybe even a referral!

✨Tip Number 2

Prepare for the interview by brushing up on your SQL, Python, and Excel skills. We all know that practical tests can pop up, so practice some real-world scenarios that might come up in the collections team.

✨Tip Number 3

Show off your problem-solving skills! During interviews, be ready to discuss how you've tackled data-related challenges in the past. We love hearing about your thought process and how you arrived at solutions.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Zopa family.

We think you need these skills to ace Data Analyst, Collections

SQL
Python
Excel
Data Analysis
Attention to Detail
Problem-Solving Skills
Process Improvement
Communication Skills
Collaboration
Curiosity
Ownership
Business Metrics Understanding
Time Management
Adaptability

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your technical skills in SQL, Python, and Excel. We want to see how you’ve used these tools to solve real business problems, so don’t hold back on sharing specific examples!

Be Detail-Oriented: Attention to detail is key for this role. When you’re writing your application, double-check for any typos or errors. We appreciate candidates who take the time to ensure their work is accurate and polished.

Communicate Clearly: Your ability to communicate findings is crucial. Use clear and concise language in your application to demonstrate how you can convey complex data insights effectively. Remember, we love a good storyteller!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at Zopa Bank

✨Know Your Tools Inside Out

Make sure you’re well-versed in SQL, Python, and Excel. Brush up on your technical skills and be ready to discuss how you've used these tools in past projects. Prepare examples that showcase your problem-solving abilities and how you’ve improved processes using data.

✨Understand the Business Context

Familiarise yourself with Zopa Bank’s mission and values. Understand how your role as a Data Analyst fits into their collections team and contributes to customer satisfaction. This will help you articulate how your work can support their goals during the interview.

✨Prepare for Scenario-Based Questions

Expect questions that assess your analytical thinking and problem-solving skills. Think of scenarios where you identified issues in data or processes and how you proposed solutions. Practising these responses will help you feel more confident during the interview.

✨Show Your Curiosity and Growth Mindset

Zopa values a proactive attitude, so be prepared to discuss how you seek feedback and learn from experiences. Share examples of how you’ve taken ownership of your work and sought out opportunities to improve your skills or processes.

Data Analyst, Collections
Zopa Bank
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