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FP&A Analyst

FP&A Analyst

  • Location

    London, England

  • Sector:

    FP & A

  • Type:

    Contract

  • Salary:

    £48000.00 - £55000.00 per annum

  • Contact:

    Matt Davidson

  • Contact Email:

    Matt.Davidson@pro-Finance.co.uk

  • Salary:

    55000

  • Salary:

    48000

  • Reference:

    BBBH49651

  • Published:

    29 days ago

  • Duration:

    18 Months

  • Expiry Date:

    25 November 2020

FP&A Analyst: £48,000 - £55,000 (18 months FTC) London

For a large University, we are recruiting an FP&A Analyst for 18 months (FTC) although this may move to a permanent position. They FP&A Analyst will report to the Assistant Director of Finance and Management Information and is a key role in updating and implementing improved systems and processes, analysis of revenue, reporting and the budget process as well as forecasting and fee modelling using advanced Excel.

Main Duties:

  • Preparation of monthly management accounts in terms of updates, analytical reporting, and first-draft of papers
  • Lead on forecasting for revenue and income, in year and in future years
  • Work with the Finance and Planning Team to model revenue including scenario modelling
  • Analysis of high volumes of data and delivery of key insights
  • Reconciliation of complex datasets and construction of scenario-based forecasts
  • Suggesting and implementing improvements to systems and processes
  • Analysing large data volumes in conjunction with the Planning Team
  • Maintaining and updating budget and forecast spreadsheets, coordinating collection of data across the Finance team
  • Reconciling budget and forecast spreadsheets, evidence, and workings file
  • Preparing summary and presentational data for Board

Person Specification:

  • Qualified Accountant or Finalist level with proven experience of Financial Planning and analysis
  • Experience of budgeting, forecasting and modelling revenue data
  • Experience of report writing and analysis of complex data in MX Excel
  • Financial Modelling and the understanding of source data and data models is essential
  • VBA and Access would be desirable

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