Commercial Finance Analyst in Pontypridd

Commercial Finance Analyst in Pontypridd

Pontypridd Full-Time 35000 - 45000 € / year (est.) No home office possible
Hays Accounts and Finance

At a Glance

  • Tasks: Analyse complex datasets and develop reporting tools to enhance financial accuracy.
  • Company: Established organisation focused on financial controls and data transparency.
  • Benefits: Competitive salary, supportive team environment, and opportunities for meaningful contributions.
  • Other info: Join a dynamic finance team with great career growth potential.
  • Why this job: Make a real impact on data quality and financial processes in a collaborative setting.
  • Qualifications: Experience in data analysis, advanced Excel skills, and familiarity with SQL and PowerBI.

The predicted salary is between 35000 - 45000 € per year.

Your new company is a well‑established organisation operating not far from the M4. They have been active for many years and continue to invest heavily in strengthening their financial controls, data accuracy, and reporting transparency. As part of this, they are seeking additional analytical support within their central finance function.

Your new role involves analysing large and complex datasets to identify mismatches or anomalies, investigating and reconciling items by working with teams across Finance and Engineering as well as other departments. You will be developing and maintaining reconciliation models, dashboards and reporting tools. You will also deliver clear and concise explanations on findings to finance leaders and other stakeholders.

What you'll need to succeed:

  • Experience in the above duties
  • Advanced Excel skills with experience in SQL, PowerBI, etc.
  • An analytical mind and competence in stakeholder management

What you'll get in return:

You will join a supportive and collaborative environment within the central finance team. The organisation offers a competitive salary and the opportunity to contribute to meaningful improvements in data quality, controls, and reporting processes.

What you need to do now:

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

Commercial Finance Analyst in Pontypridd employer: Hays Accounts and Finance

Join a well-established organisation near the M4, where you will thrive in a supportive and collaborative central finance team. With a strong focus on employee growth, you will have the opportunity to enhance your analytical skills while contributing to meaningful improvements in financial controls and reporting processes. Enjoy a competitive salary and be part of a company that values data accuracy and transparency.

Hays Accounts and Finance

Contact Detail:

Hays Accounts and Finance Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Commercial Finance Analyst in Pontypridd

Tip Number 1

Network like a pro! Reach out to people in the finance industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info and maybe even a referral!

Tip Number 2

Prepare for interviews by practising common questions related to data analysis and stakeholder management. We recommend using the STAR method to structure your answers – it helps you showcase your skills effectively.

Tip Number 3

Show off your analytical skills! Bring examples of your previous work with large datasets or dashboards to the interview. This will demonstrate your experience and give you a chance to discuss your problem-solving approach.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Commercial Finance Analyst in Pontypridd

Analytical Skills
Advanced Excel Skills
SQL
PowerBI
Data Analysis
Reconciliation Models Development
Dashboard Creation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Commercial Finance Analyst role. Highlight your experience with large datasets, Excel, SQL, and PowerBI. We want to see how your skills match what we're looking for!

Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've analysed data or resolved discrepancies in previous roles. We love a good story!

Keep It Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon. We appreciate a well-structured application that gets straight to the point—just like we do in our reporting!

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of your application. So, hit that 'apply now' button and let’s get started!

How to prepare for a job interview at Hays Accounts and Finance

Know Your Numbers

Make sure you brush up on your financial analysis skills. Be prepared to discuss your experience with large datasets and how you've identified anomalies in the past. Having specific examples ready will show that you can handle the analytical demands of the role.

Excel-lent Preparation

Since advanced Excel skills are a must, practice using functions and tools that are relevant to the job. Familiarise yourself with SQL and PowerBI as well, so you can confidently discuss how you've used these tools to create dashboards or reporting models in previous roles.

Stakeholder Savvy

This role involves working with various teams, so be ready to talk about your experience in stakeholder management. Think of examples where you've effectively communicated findings or collaborated with others to resolve issues. This will demonstrate your ability to work in a collaborative environment.

Ask Insightful Questions

Prepare thoughtful questions about the company's financial controls and reporting processes. This shows your genuine interest in the role and helps you understand how you can contribute to meaningful improvements in data quality and transparency.