£55K/yr to £65K/yr
England, United Kingdom
Permanent, Variable

Finance Business Partner

Posted by Marc Daniels.

A fantastic opportunity has arisen for a Finance Business Partner to join a large Manufacturing / Logistics company based in High Wycombe. This role offers hybrid working options and excellent progression opportunities.

Responsibilities:

  • Identify and drive process improvements and efficiencies in the FP&A team with a particular focus on Power BI and associated automation.
  • Ownership of Group Business Functions month end reporting, performing detailed variance analysis and supporting strong cost management.
  • Prepare the full year budget, quarterly reforecasts and 5-year plan for each of the business units with accompanying KPIs and present this to senior stakeholders (including CEO and CFO).
  • Provide financial expertise and guidance on new initiatives, investments, and projects.
  • Identify and drive process improvements and efficiencies in the day-to-day role with a particular focus on Power BI and associated automation.
  • Support our Data & Reporting team in driving new initiatives, providing guidance and feedback to ensure that we achieve optimal outcomes for all end users.
  • Provide end of year audit support giving full and adequate explanations to auditors where requested.
  • Prepare and present financial reports and insights to senior management and department heads to drive informed decision-making including being the key finance contributor to periodic Business Reviews.

Requirements

  • Qualified accountant (ACA, ACCA or CIMA)
  • Proven track record of building excellent working relationships with senior leaders of a large sized business
  • Strong system skills including advanced Excel and some Power BI
  • Management accounting experience gained in Manufacturing or Logistics industries

By applying you will be registered as a candidate with Marc Daniels Specialist Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your personal data.