Finance Data Analyst - Flexible Hours, Study Support Growth

Michael Page; Liverpool; Hybrid; GBP 28,000 - 38,000; Full time

Benefits offered by this job

Study support

Enhanced pension

Flexible start and finish times

35 hour working week

36 days holiday + bank holidays

Office 2 days per week

Job summary

Michael Page is seeking a Finance Data Analyst to join a large corporate services finance function in the Liverpool area. You will analyse data, produce robust datasets for returns, and support senior management with timely, accurate information.

The role emphasizes advanced Excel skills (pivot tables and lookups), data reconciliation against control totals, and collaboration with audit teams. AAT/ACCA/CIMA studies are supported, with a 35-hour week and office-based two days per week.

Qualifications

• Experience analyzing large datasets and producing reports.
• Ability to manage fixed asset data and depreciation schedules.
• Strong numerical and analytical skills for financial data.

Responsibilities

• Produce accurate and reliable datasets for returns and reporting.
• Reconcile data to control totals and investigate anomalies.
• Analyze data to identify trends and provide insights to senior management.
• Produce financial and statistical returns for internal/external stakeholders.
• Ensure capital equipment is recorded in the fixed asset register and depreciated.
• Reconcile fixed asset records with the general ledger.
• Communicate findings clearly to non-financial staff.
• Participate in projects and deliver reports to senior management.
• Liaise with internal/external audit teams.

Skills

Advanced Excel

Pivot tables

VLOOKUPs

Data analysis

Education

Studying AAT / CIMA / ACA / ACCA or similar

Job description

Michael Page is seeking a Finance Data Analyst to join a large corporate services finance function in the Liverpool area. You will analyse data, produce robust datasets for returns, and support senior management with timely, accurate information.

The role emphasizes advanced Excel skills (pivot tables and lookups), data reconciliation against control totals, and collaboration with audit teams. AAT/ACCA/CIMA studies are supported, with a 35-hour week and office-based two days per week.