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For Companies 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 opportunities for professional growth.
- Why this job: Make an impact on strategic projects while learning from industry experts.
- Qualifications: Experience in data analysis, strong SQL and Python skills required.
- Other info: Inclusive culture with support for diverse backgrounds and needs.
The predicted salary is between 28800 - 48000 ÂŁ 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 actionableâsupported 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 workâfrom 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.
- Proven experience in the UK consumer credit industry in a handsâon 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 communicatorâopen, honest, and able to present analysis effectively.
- 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.
- Natural problemâsolver 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 needsâplease let us know what works best for you. This could include:
- Extra time or flexibility during interviews
- Screen readerâaccessible 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 / Data Scientist in Cardiff employer: Creditsafe
Contact Detail:
Creditsafe Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Analyst / Data Scientist in Cardiff
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. A friendly chat can open doors that a CV just can't.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and any cool stuff you've built. This is your chance to shine beyond the application.
â¨Tip Number 3
Prepare for interviews by practising common data-related questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable.
â¨Tip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are keen to join us directly!
We think you need these skills to ace Data Analyst / Data Scientist in Cardiff
Some tips for your application đŤĄ
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in real-world scenarios, especially in the UK consumer credit industry.
Be Clear and Concise: When writing your application, keep it clear and logical. We appreciate open and honest communication, so make sure your analysis and experiences are presented effectively.
Tailor Your Application: Donât just send a generic application! Tailor it to our job description by mentioning your understanding of credit industry data sources and regulatory frameworks. This shows us youâre genuinely interested.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. Itâs the best way for us to receive your application and get you on board with our team!
How to prepare for a job interview at Creditsafe
â¨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 can be used to solve business problems. This will not only show your expertise but also your genuine interest in the role.
â¨Showcase Your Coding Skills
Be prepared to discuss your experience with SQL and Python, especially with libraries like Pandas. Consider bringing along a portfolio of projects or examples where you've used these skills to analyse data or solve complex issues. This practical demonstration can really set you apart.
â¨Communicate Clearly and Confidently
As a Data Analyst / Data Scientist, you'll need to present your findings effectively. Practice explaining your analysis in simple terms, as if you're talking to someone without a technical background. This will highlight your ability to communicate complex ideas clearly, which is crucial for the role.
â¨Understand Regulatory Frameworks
Brush up on your knowledge of UK regulatory frameworks, particularly FCA guidelines. Being able to discuss how these regulations impact data processing and credit decisions will demonstrate your readiness to navigate the complexities of the industry.