Finance Analyst – Expense Insights & Forecasting

Macmillan Education

Ciudad de México

On-site

MXN 400,000 - 640,000

Full time

4 days ago
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Job summary

Springer Nature in Mexico City seeks a Financial Analyst to analyse entity expenses, prepare budgets and forecasts aligned with group expectations, and support monthly information submissions to the UK Finance team.

The role requires strong Excel skills, English (B1), and the ability to work under high workloads, with a focus on accuracy, data analytics and clear, data-driven recommendations for the Finance Manager.

Qualifications

  • Bachelor’s degree in Accounting, in final stages or graduate.
  • At least 1 year of experience as Financial Analyst.
  • Intermediate Excel skills (Pivot Tables, formulas).
  • Intermediate English (B1) and ability to join UK meetings and handle emails.
  • Residence in Mexico City within a reasonable commuting distance.

Responsibilities

  • Prepare and analyze monthly expense reports by area, applying strong accounting principles and data analytics.
  • Perform risk and operational analyses of monthly expenses against budget and forecast.
  • Review key variances with budget owners and provide data-driven recommendations.
  • Participate in the preparation of budgets and forecasts to support planning and expense management.
  • Submit monthly expense information to the UK Finance team with compliant reporting.
  • Support financial reporting and analysis activities to improve processes and efficiency.

Skills

English (B1)
Work under high workloads

Education

Bachelor’s degree in Accounting

Tools

Excel
Power BI
ERP systems (Contpaq, SAP, Oracle)

Job description

Springer Nature in Mexico City seeks a Financial Analyst to analyse entity expenses, prepare budgets and forecasts aligned with group expectations, and support monthly information submissions to the UK Finance team.

The role requires strong Excel skills, English (B1), and the ability to work under high workloads, with a focus on accuracy, data analytics and clear, data-driven recommendations for the Finance Manager.

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