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For Companies At a Glance
- Tasks: Dive into data analysis, coding, and problem-solving to drive impactful projects.
- Company: Join Creditsafe, a global leader in business and consumer data since 1997.
- Benefits: Enjoy flexible working options and a culture that values innovation and collaboration.
- Why this job: Be part of an ambitious team tackling real business challenges with meaningful outcomes.
- Qualifications: Experience in the UK consumer credit industry with strong SQL and Python skills required.
- Other info: We support diverse candidates and offer adjustments throughout the recruitment process.
The predicted salary is between 36000 - 60000 £ per year.
Data Analyst / Data Scientist
Join our team as a Data Analyst / Data Scientist and help build the foundations for a multi-year strategic project focused on consumer information.
About Creditsafe
Since launching in Oslo in 1997, Creditsafe has grown into a global leader in business and consumer data, empowering organisations to make better decisions. We believe in innovation, collaboration, and making complex data accessible and actionable—supported by a culture where everyone can bring their whole selves to work.
The Team
You’ll join an experienced project team working on an ambitious consumer information initiative. Together, we cover a broad range of work—from detailed analysis and coding to designing data logic and building new products that solve real business challenges.
Your Role
As a Data Analyst / Data Scientist, you’ll have a large degree of ownership over your work. Projects will span from low-level data analysis and problem solving to designing processes that address complex business problems and ultimately support product development.
️ Key Responsibilities
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Take ownership of key building blocks in the strategic roadmap: deeply understand data sources, analyse them to solve business problems, code the solution, and work with the tech team to implement and test.
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Work alongside, and learn from, industry subject matter experts in analytics, tech, and product to deliver meaningful outcomes.
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Maintain high standards of data quality and accuracy at all times.
Skills & Experience
Essential Skills and Experience
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PRodxperience in the UK consumer credit industry in a hands-on analytical role.
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Strong SQL and Python skills (including Pandas).
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Deep understanding of credit industry data sources, including data shared with and returned by credit bureaus.
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Knowledge of UK regulatory frameworks, including FCA guidelines, that govern data processing and credit decisions.
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Clear and logical communicator—open, honest, and able to present analysis effectively.
Desirable Skills
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Familiarity with cloud services for data storage, processing, and analytics (AWS preferred).
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Experience with data warehouse architectures and data governance best practices.
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Prior use of common tools such as Git, Jira, and Unix environments.
Personal Attributes
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Natural problem-solver with an instinct for working with data.
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Good organisational skills and ability to manage multiple tasks.
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Commitment to continuous learning and professional development.
Accessibility & Adjustments
We are happy to make adjustments at any stage of the recruitment process to support your needs—please let us know what works best for you. This could include:
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Extra time or flexibility during interviews
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Screen reader–accessible formats
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Written rather than verbal communication
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Remote options for assessments
We welcome applications from candidates of all backgrounds.
We are committed to equity and inclusion and happy to discuss adjustments such as flexible interview formats, extra processing time, or alternative communication methods to support your needs.
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Senior Data Analyst / Consultant employer: Creditsafe
Contact Detail:
Creditsafe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst / Consultant
✨Tip Number 1
Familiarise yourself with the UK consumer credit industry. Understanding the nuances of this sector will not only help you in interviews but also demonstrate your commitment and knowledge about the field.
✨Tip Number 2
Brush up on your SQL and Python skills, particularly with libraries like Pandas. Being able to showcase your technical abilities during discussions can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the data analytics and consumer credit space. Engaging with industry experts can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Prepare to discuss real-world examples of how you've solved complex business problems using data. This will highlight your problem-solving skills and ability to apply your knowledge effectively.
We think you need these skills to ace Senior Data Analyst / Consultant
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Analyst / Consultant position. Tailor your application to highlight how your skills and experiences align with the key responsibilities outlined in the job description.
Highlight Relevant Experience: Emphasise your experience in the UK consumer credit industry and your hands-on analytical roles. Be specific about your proficiency in SQL and Python, and provide examples of how you've used these skills to solve business problems.
Showcase Communication Skills: Since clear communication is essential for this role, include examples of how you've effectively presented analysis or collaborated with teams. This could be through reports, presentations, or team projects that demonstrate your ability to convey complex data insights.
Tailor Your CV and Cover Letter: Customise your CV and cover letter to reflect the specific skills and experiences that Creditsafe is looking for. Use keywords from the job description and ensure your documents are well-structured and free of errors before submitting them through our website.
How to prepare for a job interview at Creditsafe
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of your analytical work, particularly in the UK consumer credit industry. Be ready to explain how you approached complex data problems and the impact of your solutions.
✨Demonstrate Technical Proficiency
Highlight your strong SQL and Python skills during the interview. Consider preparing a brief coding example or discussing a project where you used these tools effectively, especially with Pandas.
✨Understand Regulatory Frameworks
Familiarise yourself with UK regulatory frameworks, particularly FCA guidelines. Be prepared to discuss how these regulations influence data processing and credit decisions in your previous roles.
✨Communicate Clearly and Logically
Practice presenting your analysis in a clear and logical manner. The ability to communicate complex data insights effectively is crucial, so consider rehearsing how you would explain your findings to a non-technical audience.
