Financial Analyst

Grand America Hotels & Resorts•Salt Lake City, UT

7d•Onsite

About The Position

The Financial Analyst supports forecasting, operating and capital modeling, and preparation of financial materials for executive and board review. This position plays a key role in analyzing business performance and supporting data-driven decision-making across the hospitality portfolio. This role supports a shared services model, partnering with multiple hotels and resorts to deliver consistent, scalable financial insights and support across the enterprise. This role reports directly to Grand America Hotels and Resorts’ Vice President of Finance. Operating out of the group’s shared service office in downtown Salt Lake City, the successful candidate will partner with the central services team and the group’s individual business units to develop, enhance, and support Financial Planning and Analysis (FP&A) across the enterprise. Applicants are expected to be self-directed and demonstrate an ability to develop creative solutions to business problems.

Requirements

Bachelor’s degree in Finance, Accounting, Economics, or a related field required
3+ years of progressive experience in FP&A, corporate finance, or financial analysis, preferably within hospitality, resort operations, or other asset-intensive industries.
Proven ability to build and maintain complex financial models for budgeting, forecasting, and scenario planning.
Advanced Excel skills required; proficiency in PowerPoint and experience with business intelligence tools (e.g., Power BI, Tableau) preferred.
Strong analytical and quantitative skills, with a keen attention to detail and a proactive, problem-solving mindset.
Excellent communication and interpersonal skills; able to present financial data clearly to both financial and operational stakeholders.
Demonstrated ability to manage multiple projects, meet deadlines, and collaborate effectively in a fast-paced, multi-entity environment.
High level of professional integrity, accountability, and initiative.

Nice To Haves

MBA or CFA designation a plus.
Experience working with ERP systems or financial planning software (e.g., Adaptive Insights, NetSuite, or similar) is a plus.

Responsibilities

Develop and maintain financial models to support forecasting, budgeting, and capital planning.
Prepare detailed variance analyses of financial performance versus budget, forecast, and prior year, highlighting key drivers and business impacts.
Support development of annual and long-range financial plans at both the property level and the consolidated enterprise level.
Assist in the preparation of executive and board-level financial presentations, dashboards, and business review materials.
Analyze key performance metrics across hotel and resort operations, identifying trends, risks, and opportunities for operational improvement.
Partner with property finance and accounting teams to ensure consistency and accuracy of assumptions, inputs, and financial reporting.
Conduct scenario modeling, ROI analysis, and sensitivity analysis to evaluate business cases, investments, and strategic initiatives.
Assist in the development and improvement of standardized reporting packages for internal and external stakeholders.
Collaborate with department heads to understand key operational drivers and align financial models with real-world inputs.
Support the implementation and optimization of planning tools, reporting systems, and financial databases to improve efficiency and accuracy.
Conduct benchmarking and industry analysis to evaluate performance relative to peers and market trends.
Monitor and track capital project budgets, timelines, and financial performance against approved plans.
Provide analytical support for special projects, including acquisitions, divestitures, refinancing, or restructuring activities.
Participate in monthly close processes to align actuals with forecasts and support accruals or reclasses as needed.
Maintain data integrity across financial systems and proactively identify opportunities to streamline processes and improve data accuracy.