At a Glance
- Tasks: Enhance financial models and provide insights for strategic decision-making.
- Company: Join a high-growth renewables business making a real impact.
- Benefits: Competitive salary, growth opportunities, and a dynamic work environment.
- Why this job: Shape the future of renewable energy with your analytical skills.
- Qualifications: Expertise in Python, SQL, and financial modelling required.
- Other info: Collaborate with stakeholders and drive transformation initiatives.
The predicted salary is between 48000 - 72000 £ per year.
You will be instrumental in maintaining and enhancing sophisticated financial models. You will also be central to the quarterly group valuation process, providing critical insights that shape strategic direction and inform senior leadership as well as shareholders. You will need to deliver high quality analysis to support strategic decision making and you will have a strong level of experience with Python & SQL to refine sophisticated models. You will be required to collaborate closely with internal and external stakeholders to ensure valuation processes are robust and aligned with business objectives.
Key Responsibilities
- Maintain and enhance complex Excel and Python based financial models
- Develop new data interfaces
- Support long-term growth forecasting
- Assist Senior Finance leaders to prepare materials for external stakeholders
- Provide support for investor-relations activities
- Identify opportunities for process improvement, automation, and change management within financial analysis workflows
- Drive transformation initiatives by proactively seeking ways to optimise existing processes while ensuring compliance with best practices
The ideal candidate profile:
- Highly skilled in building and enhancing complex financial models, executing scenario‑based analysis, and conducting robust valuation work to support portfolio performance reporting
- Strong experience working with Python, SQL and experience in VBA
- Experience of portfolio performance reporting and comprehensive valuation
- In-depth knowledge of the infrastructure sector; experience within renewable energy is considered advantageous but not essential
- A proactive mindset to identify opportunities for process improvement and ability to drive transformation
- Strong experience with data visualisation, capable of transforming complex data into clear, insightful visual outputs that support strategic decision-making
If you are interested in this superb opportunity within a high growth renewables business then please email steve.church@robertwalters.com or apply below.
Senior Finance Analyst - Renewables (Modelling) in City of London employer: Sonnedix
Contact Detail:
Sonnedix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Finance Analyst - Renewables (Modelling) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the renewables sector, especially those who work with financial modelling. A casual chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your financial models and data visualisations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in past projects, especially in relation to financial analysis and valuation.
✨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 take that extra step!
We think you need these skills to ace Senior Finance Analyst - Renewables (Modelling) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Finance Analyst role. Highlight your expertise in Python, SQL, and financial modelling to grab our attention!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the renewables sector. Share specific examples of how you've driven transformation initiatives or improved processes in your previous roles.
Showcase Your Analytical Skills: In your application, emphasise your ability to deliver high-quality analysis. We want to see how you've used data visualisation to support strategic decision-making in past projects.
Apply Through Our Website: For the best chance of success, apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Sonnedix
✨Know Your Financial Models Inside Out
Make sure you’re well-versed in the financial models you’ll be working with. Brush up on your Excel and Python skills, and be ready to discuss how you've enhanced or maintained complex models in the past. Prepare examples that showcase your ability to execute scenario-based analysis.
✨Showcase Your Data Skills
Since strong experience with Python and SQL is crucial, be prepared to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any projects where you’ve used these skills to drive transformation or improve processes.
✨Understand the Business Context
Familiarise yourself with the renewable energy sector and the specific challenges it faces. Research the company’s recent initiatives and be ready to discuss how your insights can support their strategic direction. This shows you’re not just a numbers person but also understand the bigger picture.
✨Prepare for Stakeholder Engagement
Collaboration is key in this role, so think about how you’ve worked with internal and external stakeholders in the past. Be ready to share examples of how you’ve communicated complex data insights clearly and effectively, especially in investor-relations contexts.