Senior FP&A Analyst: Financial Modeling & Revenue

Full Sail University

Winter Park (FL)

On-site

USD 90,000 - 120,000

Full time

14 days+
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Job summary

Full Sail University is seeking a Senior Financial Analyst – Financial Modeling & Revenue Analytics to own and maintain the financial model, dashboards, and schedules. The role requires strong FP&A and accounting knowledge, with the ability to work with large data sets, identify trends, and translate financial information into actionable insights for senior management.

The successful candidate will combine advanced analytical capabilities with experience in forecasting, variance analysis, and

Qualifications

  • Bachelor’s degree plus ~5+ years FP&A, financial analysis, accounting, or financial modeling experience.
  • Strong financial modeling, accounting knowledge, and forecasting abilities.
  • Experience with deferred revenue/revenue recognition preferred, especially in subscription or contractual models.

Responsibilities

  • Own, maintain, and continuously improve the integrated financial model, income statement, balance sheet, cash flow, and key operating assumptions.
  • Update forecasts regularly using actual results, current trends, and management assumptions.
  • Develop executive dashboards and management reports showing results, forecasts, budgets, KPIs, and variances.
  • Perform variance analyses (budget-to-actual, forecast-to-actual) and explain significant deviations.

Skills

Advanced Excel
Financial modeling
Power BI
Tableau
Workday
Adaptive
ERP systems

Education

Bachelor’s degree in Finance, Accounting, Economics, or related field

Tools

Workday
Adaptive

Job description

Full Sail University is seeking a Senior Financial Analyst – Financial Modeling & Revenue Analytics to own and maintain the financial model, dashboards, and schedules. The role requires strong FP&A and accounting knowledge, with the ability to work with large data sets, identify trends, and translate financial information into actionable insights for senior management.

The successful candidate will combine advanced analytical capabilities with experience in forecasting, variance analysis, and

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