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- Tasks: Build SQL data warehouses and develop forecasting models to drive growth.
- Company: Join a fast-growing PE-backed business committed to sustainability.
- Benefits: Competitive salary, bonuses, and benefits package.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Make a real impact in a company focused on reducing climate impact.
- Qualifications: Strong SQL skills and advanced Excel modelling experience required.
The predicted salary is between 60000 - 75000 £ per year.
Goodman Masson is seeking a Commercial Finance Analyst to join a fast-growing PE backed business in Greater London. The role involves building and maintaining SQL data warehouses, developing forecasting models, and providing analysis through Excel.
Candidates should have:
- Strong SQL skills
- Advanced Excel modeling experience
- Commercial fluency
The company is committed to reducing climate impact through the circular economy. A competitive salary of £60,000 - £75,000 is offered, along with bonuses and benefits.
Commercial Finance Analyst – Data-Driven Growth (PE-Backed) in London employer: Goodman Masson
Contact Detail:
Goodman Masson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Finance Analyst – Data-Driven Growth (PE-Backed) in London
✨Tip Number 1
Network like a pro! Reach out to people in the finance and data sectors, especially those who work with SQL and Excel. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects and Excel models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common finance and data analysis questions. Practice explaining your thought process when building forecasting models or analysing data – it’s all about demonstrating your commercial fluency!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our mission to reduce climate impact.
We think you need these skills to ace Commercial Finance Analyst – Data-Driven Growth (PE-Backed) in London
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL experience in your application. We want to see how you've used SQL in past roles, so don’t hold back on the details!
Excel is Your Best Friend: Since advanced Excel modelling is key for this role, include examples of your Excel projects. We love seeing how you’ve tackled complex data analysis and forecasting.
Be Commercially Savvy: Demonstrate your commercial fluency by discussing how your financial insights have driven business decisions. We’re looking for candidates who understand the bigger picture!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Goodman Masson
✨Master Your SQL Skills
Before the interview, brush up on your SQL skills. Be prepared to discuss your experience with building and maintaining data warehouses. You might even be asked to solve a problem on the spot, so practice writing queries and think about how you can explain your thought process clearly.
✨Excel Modelling is Key
Since advanced Excel modelling is crucial for this role, make sure you’re comfortable with functions, pivot tables, and data visualisation techniques. Bring examples of your previous work or projects where you used Excel to drive insights, as this will showcase your capabilities effectively.
✨Understand the Business Context
Familiarise yourself with the company’s commitment to reducing climate impact through the circular economy. This will not only help you align your answers with their values but also demonstrate your genuine interest in the role and the business's mission.
✨Prepare for Commercial Fluency Questions
Expect questions that assess your commercial awareness and ability to analyse financial data. Think about how you can relate your analytical skills to real-world business scenarios. Prepare to discuss how your insights can contribute to data-driven growth in a PE-backed environment.