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- Tasks: Analyze and reconcile financial data while ensuring accuracy and integrity.
- Company: Join a dynamic team in Central London focused on financial data analysis.
- Benefits: Competitive daily rate with potential for contract extension.
- Why this job: Great opportunity to leverage your accounting skills in a data-driven environment.
- Qualifications: Must be a fully qualified accountant (ACCA, ACA, or CIMA) with strong analytical skills.
- Other info: Work with large datasets and collaborate with finance and data teams.
The predicted salary is between 60000 - 84000 £ per year.
Data Analyst – (Qualified Accountant – ACCA/ACA/CIMA)
Location: Central London
Job Type: Outside IR35 Contract
Salary: £300 – £365 per day
Duration: 2/3 Months Initial – with potential to be extended to a new project
We are looking for a Data Analyst with a strong accounting background to join our team. This role is heavily focused on financial data reconciliation rather than traditional accounting functions. The ideal candidate will be a fully qualified accountant (ACCA, ACA, or CIMA) who excels in handling large datasets, reconciling financial data, and ensuring data accuracy.
Key Responsibilities:
- Analyze and reconcile financial data (not standard accounts payable or general ledger tasks).
- Work with large datasets to ensure data integrity and accuracy.
- Identify discrepancies in financial data movement and implement resolution strategies.
- Collaborate with finance and data teams to optimize data processes.
- Use analytical tools to extract, manipulate, and interpret financial datasets.
Key Requirements:
- Fully qualified accountant (ACCA, ACA, or CIMA) – qualification must be complete.
- Proven experience in financial data reconciliation and working with large datasets.
- Strong analytical mindset with the ability to interpret financial data trends.
- Proficiency in Excel, SQL, or data visualization tools (e.g., Power BI, Tableau) is a plus.
- Excellent problem-solving skills and attention to detail.
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Financial Data Analyst employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Analyst
✨Tip Number 1
Make sure to highlight your qualifications as a fully qualified accountant (ACCA, ACA, or CIMA) in your discussions. This is a key requirement for the role, and showcasing your credentials will help you stand out.
✨Tip Number 2
Familiarize yourself with financial data reconciliation processes and be ready to discuss specific examples from your past experience. This will demonstrate your expertise and understanding of the role's focus.
✨Tip Number 3
Brush up on your skills with analytical tools like Excel, SQL, or data visualization software. Being able to discuss how you've used these tools to manipulate and interpret large datasets will give you an edge.
✨Tip Number 4
Prepare to talk about your problem-solving strategies when it comes to identifying discrepancies in financial data. Sharing specific instances where you've successfully resolved issues will showcase your analytical mindset.
We think you need these skills to ace Financial Data Analyst
Some tips for your application 🫡
Highlight Your Qualifications: Make sure to clearly state your qualifications as a fully qualified accountant (ACCA, ACA, or CIMA) in your CV and cover letter. This is a key requirement for the role.
Emphasize Relevant Experience: Focus on your experience with financial data reconciliation and working with large datasets. Provide specific examples of how you've handled discrepancies and ensured data accuracy in previous roles.
Showcase Analytical Skills: Demonstrate your analytical mindset by discussing tools and methods you’ve used to analyze financial data. Mention any experience with Excel, SQL, or data visualization tools like Power BI or Tableau.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the job posting to show that you understand the role and its requirements.
How to prepare for a job interview at Sanderson
✨Showcase Your Accounting Qualifications
Make sure to highlight your ACCA, ACA, or CIMA qualifications during the interview. Discuss how your education has prepared you for financial data analysis and reconciliation.
✨Demonstrate Data Handling Skills
Prepare examples of your experience with large datasets. Be ready to discuss specific tools you've used, such as Excel or SQL, and how you've ensured data accuracy in your previous roles.
✨Problem-Solving Scenarios
Expect questions that assess your problem-solving abilities. Think of past experiences where you identified discrepancies in financial data and how you resolved them effectively.
✨Collaborative Mindset
Emphasize your ability to work with finance and data teams. Share examples of how you've collaborated in the past to optimize data processes and improve overall efficiency.
