At a Glance
- Tasks: Analyse consumer data and solve real business challenges with innovative solutions.
- Company: Join Creditsafe, a global leader in business and consumer data since 1997.
- Benefits: Competitive salary, flexible working options, and a culture of continuous learning.
- Other info: Inclusive environment with support for diverse backgrounds and needs.
- Why this job: Make an impact on strategic projects while collaborating with industry experts.
- Qualifications: Experience in data analysis, strong SQL and Python skills required.
The predicted salary is between 28800 - 48000 € per year.
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 will 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 will 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
- 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.
- Work alongside, and learn from, industry subject matter experts in analytics, tech, and product to deliver meaningful outcomes.
- Maintain high standards of data quality and accuracy at all times.
Skills & Experience
Essential Skills and Experience
- Proven experience in the UK consumer credit industry in a hands-on analytical role.
- Strong SQL and Python skills (including Pandas).
- Deep understanding of credit industry data sources, including data shared with and returned by credit bureaus.
- Knowledge of UK regulatory frameworks, including FCA guidelines, that govern data processing and credit decisions.
- Clear and logical communicator—open, honest, and able to present analysis effectively.
Desirable Skills
- Familiarity with cloud services for data storage, processing, and analytics (AWS preferred).
- Experience with data warehouse architectures and data governance best practices.
- Prior use of common tools such as Git, Jira, and Unix environments.
Personal Attributes
- Natural problem-solver with an instinct for working with data.
- Good organisational skills and ability to manage multiple tasks.
- 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:
- Extra time or flexibility during interviews
- Screen reader–accessible formats
- Written rather than verbal communication
- 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.
Data Analyst in Cardiff employer: Creditsafe
Creditsafe is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Data Analysts and Data Scientists to thrive. With a commitment to employee growth and a supportive work environment, team members are encouraged to take ownership of their projects while benefiting from the expertise of industry leaders. Located in Oslo, the company offers unique opportunities to engage with cutting-edge data solutions and contribute to meaningful consumer information initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and case studies. Practice explaining your thought process clearly and logically—this is key for roles like Data Analyst.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Analyst in Cardiff
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data analysis! Share specific examples of how you've tackled complex problems in the past and how you can bring that experience to our team.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight the skills and experiences that match the job description. We want to see how your background aligns with our needs, especially in the UK consumer credit industry.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to communicate your ideas and avoid jargon unless it's relevant. We appreciate a logical communicator who can present their analysis effectively!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Creditsafe
✨Know Your Data Inside Out
Before the interview, dive deep into the data sources relevant to the UK consumer credit industry. Familiarise yourself with how these data points interact and the common challenges faced. This will not only show your expertise but also your genuine interest in the role.
✨Show Off Your Coding Skills
Be prepared to discuss your experience with SQL and Python, especially with libraries like Pandas. Consider bringing examples of past projects where you used these skills to solve real business problems. This practical demonstration can set you apart from other candidates.
✨Communicate Clearly and Logically
As a Data Analyst, clear communication is key. Practice explaining complex data analyses in simple terms. During the interview, focus on being open and honest in your responses, and don’t hesitate to ask clarifying questions if needed.
✨Embrace Continuous Learning
Highlight your commitment to professional development. Share any recent courses or certifications you've completed, especially those related to data analytics or the credit industry. This shows that you're proactive and eager to grow within the field.
