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For Companies At a Glance
- Tasks: Build SQL data warehouses and develop forecasting models for sales and pricing.
- Company: Fast-growing PE backed business focused on reducing climate impact.
- Benefits: Competitive salary, bonus, and benefits in a dynamic work environment.
- Other info: Opportunity to work in a growth-stage business with excellent career prospects.
- Why this job: Join a purpose-driven company making a real difference in the circular economy.
- Qualifications: Strong SQL skills, advanced Excel modelling, and commercial fluency required.
The predicted salary is between 60000 - 75000 £ per year.
I'm looking for someone to join a fast-growing PE backed business as a Commercial Finance Analyst, reporting into the Finance Director.
Responsibilities:
- Build and maintain the SQL data warehouse and pipelines that the business runs on
- Develop forecasting models for sales volumes, tonnage and pricing across clients, waste streams and locations
- Integrate data from new acquisitions into a single, consistent reporting layer
- Turn all of that into Excel-based bridges, variance analyses and board-ready summaries that the business can use
What I'm after:
- Strong SQL (complex queries, joins, window functions, warehouse experience)
- Advanced Excel modelling bridges, waterfalls, variance, clean investor-ready outputs
- Commercial fluency, you can frame analysis in terms of revenue, margin, volume, price, mix and churn
- Power BI, and ideally exposure to MS Dynamics / NetSuite / Salesforce
- Self-directed you scope your own work and deliver without being managed line by line
- Multi-entity or acquisition-driven business experience, and using new tools
It's a growth-stage business scaling fast, with a real purpose behind it reducing climate impact through the circular economy.
Commercial Analyst employer: Goodman Masson
Contact Detail:
Goodman Masson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got strong SQL and Excel modelling chops, consider creating a portfolio or a project that showcases your abilities. This can be a great conversation starter during interviews.
✨Tip Number 3
Prepare for the interview by understanding the company's mission and how they fit into the circular economy. Tailor your answers to show how your skills can help them achieve their goals.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Commercial Analyst
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL experience in your application. We want to see your ability to handle complex queries and data warehousing, so don’t hold back on showcasing those skills!
Excel is Your Best Friend: Since advanced Excel modelling is key for this role, include examples of your work with bridges, waterfalls, and variance analyses. We love seeing how you can turn data into clean, investor-ready outputs!
Frame Your Analysis Commercially: When writing your application, remember to frame your analysis in terms of revenue, margin, and other commercial metrics. This shows us that you understand the business side of things and can contribute meaningfully.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Goodman Masson
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be ready to discuss complex queries, joins, and window functions. You might even be asked to solve a problem on the spot, so practice writing queries that could help in building and maintaining data warehouses.
✨Excel Modelling Mastery
Since advanced Excel modelling is key for this role, ensure you're comfortable with creating bridges, waterfalls, and variance analyses. Bring examples of your previous work or be prepared to explain how you've used Excel to create investor-ready outputs in the past.
✨Frame Your Analysis Commercially
When discussing your past experiences, always frame your analysis in terms of revenue, margin, volume, price, mix, and churn. This shows that you understand the commercial side of finance and can contribute meaningfully to the business's goals.
✨Show Your Self-Directed Nature
This role requires someone who can scope their own work and deliver results independently. Be ready to share examples of how you've successfully managed projects without needing constant oversight. Highlight your ability to adapt and thrive in a fast-paced, growth-stage environment.