Data/Finance Analyst

  • £45000 - £55000 per annum
  • Full Time
  • Manchester
  • Accountancy
  • 10/11/2025
  • Part Qualified
  • BBBH9894
  • Data/Finance Analyst
  • finance analyst, fp&a analyst, finance business partner, management accountant, data analyst, power bi
  • perm
  • Permanent
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Data/Finance Analyst

Manchester - Hybrid

£45,000 - £55,000

This is an exciting opportunity for someone who is highly systems-driven and analytically minded. Beyond consolidating information, you will be expected to translate complex data into clear, compelling insight - telling a story that drives meaningful action.

You will lead analytical support to optimise personnel and operational expenditure (c.£140m), owning end-to-end reporting, forecasting, and performance analysis. Through robust MI and strong stakeholder engagement, you will enable cost control and informed decision-making across the business.

Key Responsibilities

Data & Reporting

  • Act as the primary contact for personnel MI, transforming high-volume data into actionable insight.

  • Deliver accurate weekly and monthly reporting, including store contribution analysis.

  • Ensure data integrity, adherence to governance, and resolution of data issues.

  • Respond promptly to ad-hoc stakeholder requests.

Business Partnering

  • Work closely with finance and operations leaders to interpret and challenge monthly performance.

  • Build strong relationships across teams to support decision-making and continuous improvement.

Budgeting & Forecasting

  • Support preparation of personnel budgets and forecasts.

  • Maintain and enhance resource planning models, collaborating with internal and external stakeholders.

Month-End Support

  • Assist in management accounts preparation.

  • Track performance against budget and deliver insightful variance analysis, explaining cost drivers.

Additional Responsibilities

  • Contribute to broader business initiatives as required.

Skills & Experience

  • Part-qualified accountant and/or experience with payroll or personnel cost analysis.

  • Advanced Excel; experience with Power BI or other visualisation tools.

  • Experience with resource planning models.

  • Strong communication skills; able to present insights clearly to non-technical stakeholders.

  • Proven ability to analyse complex datasets.

  • Strong relationship builder with a proactive, problem-solving mindset.

Apply for this position