Oliver Wyman

Company:

Oliver Wyman

Description:

About Oliver Wyman

Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments. For more information, visit [oliverwyman.com](https://oliverwyman.com), or follow us on [LinkedIn](https://www.linkedin.com/company/oliver-wyman/) and [X](https://twitter.com/OliverWyman).

This a hybrid role that requires 2 days per week in our office. There is no option to be fully remote.

Job Overview:

We are seeking a highly analytical and systems-oriented Revenue FP&A Analyst to support consolidated revenue reporting, forecasting, backlog analysis, and financial planning activities across a complex, multi-system environment. This role plays a critical part in ensuring the accuracy, integrity, and transparency of revenue data used for executive decision-making. The ideal candidate combines strong financial acumen with technical and analytical capabilities, thrives in a fast-paced environment, and is passionate about process improvement, automation, and data-driven insights. The role partners closely with FP&A, Accounting, Controllership, Tax, Operations, and Technology teams to support scalable reporting, forecasting accuracy, and continuous improvement initiatives.

Key Responsibilities:

Revenue Close, Reporting & Reconciliation

• Support month-end revenue close activities, ensuring accuracy, completeness, and timeliness of reporting.
• Reconcile revenue data across enterprise systems and the general ledger; investigate and resolve variances.
• Prepare meaningful revenue commentary, trend analysis, and management reporting.
• Perform recurring reconciliations, data integrity checks, and system validations across financial and operational platforms.
• Partner with technology teams to support system integrations, automated workflows, and reporting enhancements.

Forecasting, Backlog & Financial Analysis

• Consolidate and validate weekly and monthly revenue forecasts across business units.
• Support revenue forecasting and backlog analysis within a professional-services or project-based business model.
• Analyze revenue trends, forecast variances, and key business drivers to provide actionable insights to stakeholders.
• Develop recurring and ad hoc reporting to support forecasting, planning, and executive decision-making.

Process Improvement & Automation

• Identify and implement opportunities to improve reporting accuracy, efficiency, scalability, and automation.
• Support AI-enabled analytics, workflow optimization, and continuous improvement initiatives.

Budgeting, Forecasting & Planning Support

• Support annual budget, forecast, and planning cycles through system administration, data validation, and reconciliation activities.
• Partner with FP&A and technology teams to improve planning system functionality and reporting capabilities.

Qualifications & Experience

• Bachelor’s degree in Accounting, Finance, Economics, or 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 within a multi-national and multi-system environment.
• Strong understanding of revenue drivers, forecasting methodologies, and financial controls in professional-services or project-based organizations.
• Demonstrated experience improving finance processes through AI, automation, analytics, and technology solutions.
• English Fluency required

Technical & Analytical Skills & Attributes

• Strong analytical and financial modeling skills with the ability to interpret complex financial and operational data.
• Advanced Excel skills; 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, and variance analysis in a multi-system environment.
• Strong understanding of financial controls, data integrity, and process documentation.
• Ability to identify process improvement and automation opportunities, including use of AI-enabled analytics and reporting tools.
• Strong problem-solving, organizational, and prioritization skills with close attention to detail.
• Excellent communication and collaboration skills with the ability to partner effectively across finance, accounting, operations, technology, and leadership teams.
• Self-motivated, proactive, and capable of managing multiple priorities in a fast-paced environ