Data Analyst

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.

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