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- Tasks: Analyse data to optimise collections strategies and improve customer outcomes.
- Company: Join a forward-thinking financial services company focused on innovation and collaboration.
- Benefits: Enjoy a competitive salary, bonus scheme, 25 days holiday, and private medical insurance.
- Why this job: Make a real impact with data insights while working in a dynamic, supportive environment.
- Qualifications: Degree in a quantitative field or relevant experience; proficiency in SQL or Python required.
- Other info: Opportunity to collaborate across departments and present insights to diverse audiences.
The predicted salary is between 36000 - 60000 £ per year.
Your new company You 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 role As 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 now 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. 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 (url removed)
Collections Data Analyst employer: Hays Technology
Contact Detail:
Hays Technology 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 the company's goals.
✨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 data and derive insights, which you can discuss during interviews.
✨Tip Number 3
Prepare to showcase your analytical mindset by thinking of examples where you've turned data into actionable insights. Be ready to explain your thought process and the impact of your decisions on previous projects.
✨Tip Number 4
Practice presenting complex data to non-technical audiences. This role requires excellent communication skills, so consider rehearsing how you would explain your findings to someone without a technical background.
We think you need these skills to ace Collections Data Analyst
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Collections Data Analyst position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: Emphasise your experience in collections analytics or strategy, particularly any work involving SQL or Python. Provide specific examples of how you've used data to drive decisions and improve performance.
Showcase Communication Skills: Since the role requires presenting insights to both technical and non-technical audiences, include examples in your CV or cover letter that demonstrate your ability to communicate complex data clearly and effectively.
Tailor Your CV and Cover Letter: Customise your CV and cover letter for this specific role. Use keywords from the job description, such as 'data-driven insights', 'collections strategies', and 'data visualisation tools', to ensure your application stands out.
How to prepare for a job interview at Hays Technology
✨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 with SQL or Python, as these skills will be highly valued.
✨Understand the Industry
Familiarise yourself with the financial services sector and the specific challenges related to collections. Being able to discuss industry regulations and how they impact collections strategies will demonstrate your knowledge and commitment to delivering fair outcomes for customers.
✨Prepare for Technical Questions
Expect technical questions that assess your proficiency in data analysis tools and programming languages. Brush up on your skills in data visualisation tools like Power BI or Tableau, and be ready to explain how you've used them to create impactful reports and dashboards.
✨Communicate Clearly
Since you'll be presenting insights to both technical and non-technical audiences, practice explaining complex data concepts in simple terms. This will show your ability to tailor your communication style to different stakeholders, which is essential for this role.