Analyst Financial Planning & Analysis

Hilton Grand VacationsOrlando, FL

About The Position

The Financial Analyst, FP&A – Corporate Marketing supports forecasting, planning, and financial analysis across Corporate Marketing channels. This role is responsible for executing driver-based forecast inputs, maintaining models, and delivering insights across package sales, tours, revenue, and marketing expenses. The Analyst will partner closely with FP&A leadership, Business Operations, and Accounting to support accurate, driver-based forecasting and alignment to business performance expectations.

Requirements

  • Bachelor’s Degree in Finance, Accounting, Economics, or related field
  • 1–3+ years of FP&A or related analytical experience
  • Strong proficiency in Microsoft Excel, including financial modeling and data analysis
  • Experience working with large datasets and multiple data sources
  • Strong analytical, organizational, and problem-solving skills
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment

Nice To Haves

  • Familiarity with Oracle EPM / Hyperion SmartView or similar tools preferred

Responsibilities

  • Prepare, maintain, and update driver-based forecasts across packages, tours, revenue, and expenses, ensuring accuracy and completeness throughout the monthly forecasting cycle
  • Perform channel-level forecasting and analysis across all Corporate Marketing channels, including tracking call center generation and fulfillment costs
  • Consolidate and validate data from multiple sources, ensuring consistency between financial systems, models, and reporting outputs
  • Support variance analysis vs. forecast, budget, and prior year, identifying key drivers and performance trends
  • Maintain and enhance forecasting models, templates, and reporting tools to improve accuracy and efficiency
  • Partner with cross-functional teams to collect inputs, validate assumptions, and ensure data integrity
  • Support ad hoc analysis and performance deep dives to identify trends, risks, and opportunities
  • Assist in the transition to standardized, system-based forecasting processes, reducing reliance on manual and offline models
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