At a Glance
- Tasks: Analyse customer debt and revenue data to drive better business decisions.
- Company: Join a dynamic Credit Risk team in the South West.
- Benefits: Flexible work with one day onsite, competitive salary, and growth opportunities.
- Other info: Great for those who love data and want to improve financial performance.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Essential SQL skills and experience with debt or revenue data.
The predicted salary is between 29700 - 36300 £ per year.
We are looking for a Data Analyst to join its Credit Risk team in the South West. This role focuses on using data to understand customer debt, revenue, and collections performance, helping the business reduce bad debt and make better decisions. 1 day onsite per week (South West).
What you’ll do:
- Analyse customer debt and revenue data
- Identify trends and root causes of debt build-up
- Produce simple, clear insights to support collections activity
- Build and maintain SQL-based reports
- Work with stakeholders to support decision-making
- Support improvements to data and reporting processes
What you’ll need:
- ESSENTIAL
- SQL skills (extracting, joining, and analysing data)
- Experience working with debt, revenue, credit risk, or collections data
- Ability to explain findings to non-technical people
- Experience managing analysis tasks or projects
Desirable (but not essential):
- Experience in Utilities or Financial Services
- Exposure to cloud data platforms (e.g. Azure, AWS)
- Knowledge of predictive or risk-based analysis
This is a great opportunity for someone who enjoys turning data into practical insight and wants to make a real impact on debt and revenue performance.
Data Analyst in Hounslow employer: Cactus Search
Join a forward-thinking organisation as the Head of Procurement, where you will have the opportunity to make a significant impact on our procurement strategy while working remotely from anywhere in the UK. We pride ourselves on fostering a collaborative work culture that values innovation and employee growth, offering competitive salaries and a clear pathway for professional development. With a focus on delivering measurable cost savings and enhancing supplier relationships, this role provides a unique chance to contribute to meaningful change within a dynamic team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Hounslow
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Cactus Search.
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We think you need these skills to ace Data Analyst in Hounslow
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Cactus Search, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cactus Search. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Cactus Search
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Cactus Search!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
