Data Analyst at Together Money

Stockport, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

30 Jul, 26

Salary

0.0

Posted On

01 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data analysis, Excel, PowerBI, SQL, Python, Data modelling, Financial modelling, Data validation, Reporting, Problem solving, Data collection, Data cleaning, Trend analysis, Process improvement, Data visualization

Industry

Financial Services

Description

Company Description Benefits of working at Charles Street 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. As a Data Analyst, you will be involved in: Data Collection and Preparation Gathering data from multiple sources across the business Organise, clean and structure data for analysis and reporting Reporting and Insights Produce regular and adhoc 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 Qualifications Essential 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 If you feel you have some of the skills mentioned above, but not all, please do still apply and we would be happy to have a further discussion with you in regards to your suitability for the role. Additional Information ––––––––––––– Charles Street embraces diversity and inclusion, and are 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. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process. Please note that all successful applicants will undergo relevant employment reference, financial and criminal record checks. #TMLP Working Hours: Standard (09:00am-17:30pm) Department: Charles Street Office or Field Based: Office Based (Cheadle, SK8 3GW) Contract type: Permanent

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Responsibilities

The Data Analyst will gather, clean, and structure raw data to produce insightful reports for financial and operational teams. They will also identify trends and anomalies while streamlining data workflows to improve overall business efficiency.