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A leading manufacturing company in the UK is seeking a Finance Analyst to support strategic planning through financial analysis, reporting, and forecasting. The ideal candidate will be ACA/ACCA/CIMA qualified with experience in the manufacturing sector and advanced Excel skills. This role involves collaborating with various departments to provide insights for key business decisions.
Harper May is delighted to partner with a forward-thinking manufacturing business that’s redefining quality and innovation in the consumer durables space. With a strong emphasis on design, sustainability, and customer satisfaction, the company is expanding rapidly and now seeks a talented Finance Analyst to join its growing finance function.
As Finance Analyst, you’ll support strategic planning through detailed financial analysis, reporting, and forecasting. Collaborating across departments, you’ll deliver insights that shape key decisions, drive performance, and support long-term growth initiatives. This is a fantastic opportunity to contribute to a high-impact finance team in a fast-evolving business.
Conduct detailed financial analysis, including variance and trend analysis, to support commercial and operational decisions
Prepare clear, insightful reports and presentations for senior stakeholders
Support the development of annual budgets, quarterly forecasts, and long-term planning models
Analyse market data and competitor performance to inform business strategy
Deliver ad-hoc analysis to evaluate investment opportunities and resource allocation
Recommend improvements to financial processes, reporting standards, and systems
ACA / ACCA / CIMA qualified or equivalent
Previous experience in a financial analyst role, ideally within manufacturing or consumer products
Advanced Excel skills and proficiency in financial systems (e.g. SAP, Oracle, Tableau)
Strong financial modelling and forecasting capabilities
Commercially minded with the ability to communicate complex information clearly
Collaborative, detail-oriented, and capable of working to tight deadlines in a dynamic setting