UOL

Planning and Quality Analyst, Mid-level - Consolidation/FP&A

UOL

full-time

Posted on:

Location Type: Hybrid

Location: São Paulo • Brazil

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About the role

  • Support the preparation, consolidation and monitoring of the department's budget.
  • Prepare and analyze forecasts, budgets and financial results, with a focus on OPEX and CAPEX.
  • Perform variance analysis between planned, actual and forecast figures.
  • Develop and update management reports, ensuring consistency and quality of information.
  • Support correct allocation and apportionment of costs and expenses.
  • Prepare financial analyses and presentations to support decision-making.

Requirements

  • Bachelor's degree in Business Administration, Economics, Engineering, Accounting or related fields.
  • Experience in Financial Planning / FP&A or Controllership.
  • Experience with budgeting, forecasting and variance analysis.
  • Intermediate to advanced skills in Excel and PowerPoint.
  • Advantage: Knowledge of SAP.
  • Knowledge of Power BI.
Benefits
  • Meal and/or food allowance.
  • Transportation allowance.
  • Private pension plan.
  • Health and dental insurance.
  • Life insurance.
  • Partnership with TotalPass.
  • ZenKlub for online therapy.
  • UOL Care: psychological, nutritional, physiotherapy and physical education guidance.
  • Extended maternity and paternity leave.
  • Childcare assistance.
  • Partnerships offering discounts at major institutions such as FIA, FAAP, PUCRS and UNINASSAU, plus 50% off all courses available on the Portal Educação platform.
  • 70% discount on the English 2.0 course on Portal Educação and 50% off courses at EA Banking School.
  • No dress code: wear what makes you feel comfortable.
  • #TáDeParabéns: day off on your birthday.
  • Baby gift: a present for newborns.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
budgetingforecastingvariance analysisfinancial analysisfinancial reportingOPEXCAPEXcost allocationdata analysispresentation skills