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For Companies At a Glance
- Tasks: Shape and optimise collections strategies using data insights.
- Company: Join a forward-thinking financial services organisation focused on innovation and customer outcomes.
- Benefits: Enjoy a salary up to £45,000, bonus scheme, 25 days holiday, and private medical insurance.
- Why this job: Be part of a data-driven team that values collaboration and continuous improvement.
- Qualifications: Degree in a quantitative field or relevant experience; proficiency in SQL or Python required.
- Other info: Opportunity to present insights to diverse audiences and collaborate across departments.
The predicted salary is between 36000 - 54000 £ per year.
Job Description
Your new companyYou will be joining a forward-thinking, data-driven, financial services organisation that values innovation, collaboration and continuous improvement. With a strong focus on delivering fair outcomes for customers, this company is committed to using data to drive smarter decisions and improve operational performance across its collections and servicing functions. Your new roleAs a Collections Data Analyst, you will play a key role in shaping and optimising collections strategies through data-driven insights. Sitting within the Operations function and closely aligned with the Servicing team, you will:
- Develop and monitor collections and communication strategies tailored to different customer profiles
- Ensure strategies align with industry regulations and deliver positive customer outcomes
- Analyse and report on collections performance, recovery rates, and strategic impact
- Regularly test and refine strategies to improve effectiveness and efficiency
- Create and maintain dashboards and reports for a range of stakeholders
- Support ad hoc analysis requests and collaborate across departments to inform operational decisions
- Present insights clearly to both technical and non-technical audiences
What you'll need to succeed
- A degree with a quantitative focus or equivalent commercial experience
- Proven experience in collections analytics or strategy
- Proficiency in SQL or Python (other programming languages will be considered)
- Strong analytical mindset with the ability to turn data into actionable insights
- Excellent communication skills and the ability to tailor messages to different audiences
- Experience in financial services or consumer-focused industries such as utilities or telecoms
- Familiarity with personal loans and related analytics
- Experience with data visualisation tools such as Power BI, Tableau or Quicksight
What you'll get in return
- Salary of up to £45,000
- Discretionary annual bonus scheme
- 25 days holiday plus bank holidays, increasing with service
- Life cover at four times your basic salary
- Private medical insurance and income protection
What you need to do nowIf 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.
Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Collections Data Analyst employer: Hays Specialist Recruitment Limited
Contact Detail:
Hays Specialist Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Collections Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in collections analytics. Understanding current strategies and technologies used in the industry will help you speak confidently about how you can contribute to our data-driven approach.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on small projects or exercises that demonstrate your ability to manipulate and analyse data effectively.
✨Tip Number 3
Prepare to discuss your experience with data visualisation tools like Power BI or Tableau. Having examples ready of how you've used these tools to present insights will set you apart from other candidates.
✨Tip Number 4
Think about how you can tailor your communication style to different audiences. Being able to explain complex data insights in a clear and engaging way is key, so practice articulating your thoughts in simple terms.
We think you need these skills to ace Collections Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in collections analytics and strategy. Emphasise your proficiency in SQL or Python, and any relevant data visualisation tools like Power BI or Tableau.
Craft a Strong Cover Letter: In your cover letter, explain how your analytical mindset and communication skills can contribute to the company's goals. Mention specific examples of how you've used data to drive decisions in previous roles.
Showcase Relevant Experience: Detail your experience in financial services or consumer-focused industries. Highlight any familiarity with personal loans and related analytics, as this will resonate well with the hiring team.
Prepare for Interviews: If you get an interview, be ready to discuss how you can develop and monitor collections strategies. Prepare to present insights clearly, catering to both technical and non-technical audiences.
How to prepare for a job interview at Hays Specialist Recruitment Limited
✨Showcase Your Analytical Skills
As a Collections Data Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used data to drive decisions in previous roles. Highlight any experience you have with SQL or Python, as these are key skills for the position.
✨Understand the Company’s Values
This company values innovation and fair outcomes for customers. Research their approach to collections and servicing, and be ready to discuss how your own values align with theirs. This will demonstrate your genuine interest in the role and the organisation.
✨Prepare for Technical Questions
Expect questions that assess your technical knowledge, especially regarding data visualisation tools like Power BI or Tableau. Brush up on your understanding of these tools and be ready to explain how you've used them to create impactful reports or dashboards.
✨Communicate Clearly
You’ll need to present insights to both technical and non-technical audiences. Practice explaining complex data concepts in simple terms. This will show your communication skills and your ability to tailor messages to different stakeholders, which is essential for this role.
