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For Companies At a Glance
- 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) 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)
✨Tip Number 1
Network like a pro! Reach out to people in the finance and data sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your SQL skills! If you’ve got a portfolio or examples of your work, bring them along to interviews. It’s a great way to demonstrate your expertise in a practical way.
✨Tip Number 3
Prepare for those tricky questions! Brush up on common interview questions related to forecasting models and Excel analysis. We want you to feel confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Commercial Finance Analyst – Data-Driven Growth (PE-Backed)
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 specific examples of how you've used Excel to develop forecasting models or analyse data. We love a good spreadsheet story!
Be Commercially Savvy: Demonstrate your commercial fluency by discussing how your financial analysis has impacted business decisions in previous roles. 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 ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Goodman Masson
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with building and maintaining data warehouses, and maybe even tackle a practical SQL problem during the interview. Show them you can handle data like a pro!
✨Excel Like a Boss
Since advanced Excel modelling is key for this role, practice your Excel skills ahead of time. Familiarise yourself with functions, pivot tables, and forecasting models. You might be asked to demonstrate your Excel prowess, so be ready to impress!
✨Understand the Business and Its Values
Research Goodman Masson and their commitment to reducing climate impact through the circular economy. Being able to articulate how your values align with theirs will show that you're not just looking for any job, but that you're genuinely interested in contributing to their mission.
✨Prepare for Commercial Fluency Questions
Expect questions that assess your commercial awareness and financial acumen. Brush up on current trends in finance and how they relate to the business world. Being able to discuss how data-driven decisions can impact growth will set you apart from other candidates.