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- Tasks: Transform raw data into insights to boost financial and operational performance.
- Company: Join Charles Street Finance, a growing secured lender with a focus on customer service.
- Benefits: Enjoy 26 days holiday, health plans, gym access, and a bonus scheme.
- Other info: Diverse and inclusive workplace committed to supporting all employees.
- Why this job: Make a real impact by analysing data and driving business decisions.
- Qualifications: Strong analytical skills and knowledge of Excel, PowerBI, SQL or Python required.
The predicted salary is between 30000 - 40000 £ per year.
Benefits:
- 26 days holiday, and a day off for your birthday (increasing with service to 30 days), plus bank holidays
- Free access to company holiday homes
- Buy & sell holidays
- Discretionary annual bonus plus an additional Shared Reward Bonus
- Matched pension contribution
- Health cash plan plus private medical insurance
- Life assurance and critical illness cover
- Travel season ticket loans and ride to work scheme
- Free local gym access
- Local bar / restaurant discounts
Company Description:
Charles Street Finance ("CSF") is a specialist secured lender based in Cheadle, South Manchester. Established in 1983, we’re a small team but have doubled the size of the loan book over 2 years such that we are seeking to grow and enhance the existing personnel in key areas to further facilitate our ambitions. We are all about a common-sense proposition built around attention to detail and speed of response whilst always putting the customer at the heart of everything we do. A can‑do approach fuels our speed of response from enquiry through to payment. Honesty and integrity are fundamental principles across the customer journey and the many long‑standing relationships we have cultivated are testament to our service levels and reliability.
Job Description:
As a Data Analyst you will play a key role in turning raw data into meaningful insights to help us understand and improve both financial and operational performance.
Responsibilities:
- Data Collection and Preparation – gather data from multiple sources across the business, organize, clean and structure data for analysis and reporting
- Reporting and Insights – produce regular and ad hoc reports for financial and operational teams, create clear, insightful visualisations and summaries to support decision making
- Analysis and Problem Solving – identify trends, anomalies and opportunities in data, work closely with finance and operations to answer key business questions
- Process Improvement – streamline data workflows and reporting processes, improve data quality and reliability, contribute ideas to improve efficiency accuracy in data handling
Essential skills:
- Strong analytical and problem‑solving skills
- Strong knowledge of Excel, PowerBI, SQL or Python
- Data and financial modelling skills
- Data validation, reporting and control frameworks
- Finance or operational data background
Additional Information:
Charles Street embraces diversity and inclusion, and is proud to be an equal‑opportunity workplace. Not only do we welcome difference – we celebrate it, support it and really value our colleagues for who they are. We are committed to building a team that represents a variety of backgrounds, perspectives and skills. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. Please note that all successful applicants will undergo relevant employment reference, financial and criminal record checks.
Data Analyst in Cheadle employer: Charles Street Finance
Contact Detail:
Charles Street Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Cheadle
✨Tip Number 1
Network like a pro! Reach out to current employees at Charles Street Finance on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data skills. Be ready to discuss how you've used Excel, PowerBI, or SQL in past projects. Show us how you can turn raw data into insights that drive decisions!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your problem-solving abilities too. Share examples of how you've identified trends or improved processes in previous roles. We love a can-do attitude!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Charles Street Finance.
We think you need these skills to ace Data Analyst in Cheadle
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your analytical skills and experience with tools like Excel, PowerBI, SQL, or Python. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've identified trends or solved problems using data. We’re all about that can-do attitude, so let us know how you’ve made a difference in previous roles!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Charles Street Finance
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, PowerBI, SQL, or Python. Be ready to discuss how you've used these tools in past projects and be prepared to demonstrate your analytical prowess during the interview.
✨Understand the Business
Familiarise yourself with Charles Street Finance's operations and values. Knowing their approach to customer service and how they handle data can help you tailor your answers and show that you're a great fit for their team.
✨Prepare Insightful Questions
Think of questions that show your interest in the role and the company. Ask about their data workflows or how they measure success in their financial and operational performance. This shows you're engaged and eager to contribute.
✨Showcase Problem-Solving Skills
Be ready to discuss specific examples where you've identified trends or solved problems using data. Highlight your analytical thinking and how it led to improvements in previous roles, as this aligns perfectly with what they're looking for.