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For Companies At a Glance
- Tasks: Support financial reporting, data analysis, and budgeting processes.
- Company: Join a leading organisation focused on growth and commercial success.
- Benefits: Enjoy hybrid working, study support, 25 days holiday, and gym discounts.
- Why this job: Kickstart your finance career in a supportive team with opportunities for growth.
- Qualifications: Recent graduates or those with relevant experience; strong analytical and Excel skills required.
- Other info: Collaborate with various stakeholders and improve reporting processes using BI tools.
The predicted salary is between 30000 - 35000 £ per year.
Finance Analyst – Witney – £30,000 / £35,000 – Hybrid Working
About the Client
Wade Macdonald are currently working with a leading organisation that is part of a growing and commercially focused group who are looking for a Finance Analyst to join the team on a permanent basis.
About the Job
This is an excellent opportunity for a recent graduate with strong analytical skills and a passion for data to begin their career in financial analysis. Working closely with the Finance Business Partner and reporting directly to the Head of FP&A, you’ll play a key role in supporting the delivery of insightful reporting, data interpretation, and financial planning activities across the business.
Duties
- Supporting the preparation of regular financial performance reports and dashboards
- Assisting with analysis on key trends, variances and business drivers
- Working with large data sets to extract, clean and interpret financial and operational information
- Producing accurate and timely reports to aid business decision-making
- Supporting the budgeting and forecasting processes
- Liaising with various stakeholders across the business, including central functions and regional teams
- Continually looking for ways to improve reporting processes and automation using Excel and BI tools
About the Successful Applicant
You will be a graduate with a degree in a numerical, finance or business-related field or someone with previous experience in a similar role looking to progress further within their career. Advanced Excel skills, strong attention to detail, and a genuine passion for data analysis are essential. You’ll be proactive, eager to learn, and confident in communicating with stakeholders across different teams.
What You Will Receive in Return
You’ll join a supportive and collaborative finance team in a business that encourages growth and professional development. Benefits include study support for a recognised accountancy qualification, 25 days holiday Bank Holidays, healthcare cash plan, gym discounts, employee assistance programme, and access to a wide range of retail discounts.
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Financial Analyst employer: Wade Macdonald
Contact Detail:
Wade Macdonald Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Analyst
✨Tip Number 1
Familiarise yourself with the key financial metrics and reporting tools that are commonly used in the industry. This will not only help you understand the role better but also allow you to speak confidently about how you can contribute to the team during interviews.
✨Tip Number 2
Network with professionals in the finance sector, especially those who work as financial analysts. Attend industry events or join online forums to gain insights and potentially get referrals that could boost your application.
✨Tip Number 3
Brush up on your Excel skills, particularly advanced functions and data analysis techniques. Being able to demonstrate your proficiency in Excel during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your analytical approach to problem-solving. Think of examples from your studies or previous experiences where you successfully interpreted data or improved a process, as this will showcase your suitability for the role.
We think you need these skills to ace Financial Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Finance Analyst role. Emphasise your analytical skills, proficiency in Excel, and any experience with data interpretation or financial reporting.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and finance. Mention specific examples from your academic or professional background that demonstrate your ability to support financial performance reporting and stakeholder communication.
Highlight Relevant Coursework or Projects: If you're a recent graduate, include any relevant coursework or projects that involved financial analysis, data handling, or business decision-making. This will show your practical understanding of the concepts required for the role.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Finance Analyst position.
How to prepare for a job interview at Wade Macdonald
✨Showcase Your Analytical Skills
As a Finance Analyst, your analytical skills are crucial. Be prepared to discuss specific examples from your studies or previous roles where you successfully interpreted data or identified trends. This will demonstrate your capability and passion for the role.
✨Familiarise Yourself with Financial Reporting
Understand the basics of financial performance reports and dashboards. Research common metrics and reporting tools used in the industry. Being able to speak knowledgeably about these topics will impress your interviewers and show your commitment to the role.
✨Prepare for Stakeholder Interaction
Since the role involves liaising with various stakeholders, practice how you would communicate complex financial information clearly and concisely. Think of examples where you've had to explain data to non-financial colleagues, as this will highlight your communication skills.
✨Demonstrate Your Excel Proficiency
Advanced Excel skills are essential for this position. Be ready to discuss your experience with Excel functions, data manipulation, and any BI tools you’ve used. If possible, bring examples of your work or projects that showcase your abilities in this area.
