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Текст:
Hirify AI/Оригинал
TL;DR
Revenue FP&A Analyst (AI): Supporting revenue close, forecasting, backlog analysis, reconciliations, and financial planning across a complex multi-system professional-services environment with an accent on reporting accuracy, automation, and data integrity. Focus on consolidating forecasts, analyzing variances and revenue drivers, improving planning systems, and developing AI-enabled analytics and workflows.
Location: Mexico City, Mexico; hybrid role requiring 2 days per week in the office and no fully remote option.
Company
Oliver Wyman is a management consulting firm and a Marsh business, providing industry insight, innovation, and advisory services to organizations navigating transformative moments.
What you will do
Support month-end revenue close, consolidated reporting, reconciliations, data integrity checks, and system validations.
Investigate revenue variances and prepare revenue commentary, trend analysis, and management reporting.
Consolidate and validate weekly and monthly revenue forecasts and support backlog analysis in a professional-services or project-based business model.
Analyze revenue trends, forecast variances, and business drivers to provide insights for stakeholders and executive decision-making.
Support annual budgeting, forecasting, planning cycles, system administration, and data validation.
Partner with finance, accounting, tax, operations, technology, and leadership teams on system integrations, automation, reporting enhancements, and process improvement.
Requirements
Bachelor’s degree in Accounting, Finance, Economics, or a related field.
3–5 years of progressive experience in FP&A, revenue accounting, finance operations, or related analytical finance roles.
Experience supporting revenue close, forecasting, and reconciliation processes in a multinational, multi-system environment.
Strong understanding of revenue drivers, forecasting methodologies, and financial controls in professional-services or project-based organizations.
Experience improving finance processes through AI, automation, analytics, and technology solutions.
Strong analytical and financial modeling skills, including the ability to interpret complex financial and operational data.
Advanced Excel skills and experience with ERP, planning, and reporting systems such as SAP, Oracle, Anaplan, Hyperion, Adaptive Planning, Power BI, or Tableau.
Experience with revenue forecasting, backlog analysis, reconciliations, variance analysis, financial controls, data integrity, and process documentation.
Strong problem-solving, organizational, prioritization, communication, and collaboration skills; ability to manage multiple priorities with attention to detail.
Fluency in English.
Culture & Benefits
Hybrid work combines remote flexibility with collaboration, connections, and professional development in the office.
Marsh promotes a diverse, inclusive, and flexible work environment.
The role operates in a fast-paced environment with cross-functional collaboration across finance, accounting, operations, technology, and leadership.
Marsh colleagues are expected to work in their local office or onsite with clients at least three days per week, subject to local team arrangements.
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