At a Glance
- Tasks: Drive commercial performance through data analysis and shape strategic decisions.
- Company: Dynamic UK-wide business with a focus on growth and innovation.
- Benefits: Home-based role offering flexibility, autonomy, and collaboration with senior leadership.
- Other info: Fast-paced environment with opportunities for professional development and exposure to strategic projects.
- Why this job: Make a real impact by turning complex data into actionable insights for business growth.
- Qualifications: Degree in relevant field and experience in commercial finance or analytics.
The predicted salary is between 35000 - 45000 £ per year.
Drive commercial performance through data-led insight in a role where your analysis will directly shape strategic decision-making across a growing UK-wide business. This home-based opportunity offers the chance to work closely with senior leadership, influence pricing and operational strategy, and play a key role in forecasting, reporting, and business growth initiatives across a multi-site operation. The role is primarily home based, with occasional travel required to sites across the UK and head office locations.
This is a high-impact role for a commercially minded analyst who enjoys turning complex data into meaningful business insight. Reporting to the CFO, you'll support decision-making across sales, operations, finance, and marketing by delivering clear analysis, forecasting, and performance reporting. You'll work across a broad range of commercial and financial data, identifying trends, opportunities, and risks while helping optimise pricing strategies, customer engagement, occupancy performance, and profitability. The position also offers exposure to forecasting ownership, strategic projects, and MA support within a fast-paced and evolving environment.
Key Responsibilities
- Analyse sales, occupancy, pricing, customer, and operational data to identify trends, risks, and opportunities for improvement.
- Produce weekly, monthly, and ad hoc reports, dashboards, and commercial insights for senior stakeholders.
- Monitor KPI performance and provide early warnings where targets may not be achieved.
- Support pricing strategy development through competitor analysis, customer behaviour insights, and market trend evaluation.
- Develop customer profiles and analyse churn, customer value, and engagement metrics.
- Collaborate with operational, marketing, and technical teams to improve reporting accuracy and data integrity.
- Support automation and enhancement of reporting processes using Excel, Power BI, and other analytical tools.
- Recommend and help implement data-driven sales and marketing strategies to improve revenue and store performance.
- Evaluate the effectiveness of pricing changes, promotions, and marketing campaigns.
- Support budgeting and forecasting processes, including ownership and development of forecasting models.
- Provide analytical and financial support relating to acquisitions, due diligence, and integration activity.
- Ensure compliance with company data policies and data protection requirements.
Candidate Profile
- Degree qualified in a relevant discipline.
- Previous experience within a commercial finance, analytical, or business intelligence role.
- Strong analytical and numerical capability with excellent attention to detail.
- Advanced Excel skills and experience using Power BI.
- Ability to interpret complex data and present findings clearly to both operational and senior leadership audiences.
- Experience supporting budgeting, forecasting, and performance analysis activities.
- Strong communication skills with the ability to influence non-technical stakeholders.
- Highly organised with the ability to manage multiple priorities effectively.
- Naturally curious, proactive, and comfortable working independently.
- Experience within a fast-paced or acquisitive environment would be advantageous.
- Exposure to SQL, Tableau, CRM systems, or large dataset analysis would be beneficial.
Package Benefits
- Home-based role with flexibility and autonomy.
- Opportunity to work closely with senior leadership and influence commercial strategy.
- Exposure to forecasting, pricing, operational analytics, and corporate transactions.
- Collaborative and commercially focused environment.
To learn more or apply, please contact Laura at laura@wilkinsonandassociates.co.uk for a private and confidential discussion. Alternatively, submit your CV and we'll be in touch. Please note that due to the volume of applications, only successful applicants will be contacted.
Commercial Analyst in Haddington employer: Wilkinson and Associates
Join a dynamic and growing UK-wide business as a Commercial Analyst, where you will enjoy the flexibility of a home-based role while having the opportunity to work closely with senior leadership. Our collaborative and commercially focused environment fosters employee growth through exposure to strategic decision-making, forecasting, and operational analytics, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Analyst in Haddington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend webinars, and join relevant groups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to commercial analysis. Use real data examples from your past experiences to showcase your analytical skills and how they can drive business performance.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and tailor your approach to each one!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. Plus, it keeps you on their radar as they make their decision.
We think you need these skills to ace Commercial Analyst in Haddington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Commercial Analyst. Highlight your analytical skills and any relevant experience in commercial finance or business intelligence. We want to see how you can drive commercial performance through data-led insights!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific examples of how you've turned complex data into meaningful insights before. We love seeing your personality come through!
Showcase Your Skills:Don’t forget to highlight your advanced Excel and Power BI skills. If you have experience with SQL or Tableau, make sure to mention that too! We’re looking for someone who can handle data like a pro and present findings clearly.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, we’re excited to hear from you!
How to prepare for a job interview at Wilkinson and Associates
✨Know Your Data Inside Out
As a Commercial Analyst, you'll be dealing with complex data. Make sure you brush up on your analytical skills and understand the key metrics relevant to the role. Be prepared to discuss how you've used data to drive decisions in past roles.
✨Showcase Your Reporting Skills
Since you'll be producing reports and dashboards for senior stakeholders, bring examples of your previous work. Highlight your experience with Excel and Power BI, and be ready to explain how your insights have influenced business strategies.
✨Understand the Business Landscape
Familiarise yourself with the company's market position and competitors. Be ready to discuss how you would approach pricing strategy and customer engagement based on your analysis of market trends and customer behaviour.
✨Communicate Clearly and Confidently
You'll need to present your findings to both technical and non-technical audiences. Practice explaining complex data in simple terms, and prepare to answer questions about your analysis and recommendations during the interview.