Pricing & Revenue Analytics Financial Analyst

Norwegian Cruise Line Ltd.

Miami (FL)

On-site

USD 70,000 - 90,000

Full time

3 days ago
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Job summary

Norwegian Cruise Line Holdings Ltd. is seeking a Financial Analyst in Miami, FL. The role supports financial planning and analysis, forecasting, reporting, and data-driven insights for revenue management and commercial decisions.

The successful candidate will build models, analyze performance, and partner across Finance, Sales, and Operations to drive action. Strong Excel, BI/tools experience, and 2+ years in a data-rich environment are preferred.

Qualifications

  • Bachelor’s degree in finance, accounting, economics or related field.
  • Minimum 2 years in financial planning and analysis or analytics.
  • Strong Excel modeling and data analysis capabilities.
  • Experience with BI tools and data visualization preferred.

Responsibilities

  • Analyze ticket revenue, bookings, yield, pricing, load factor and costs.
  • Prepare forecasts, pacing analyses, targets, and variance explanations.
  • Conduct scenario and sensitivity analyses for pricing decisions.
  • Measure promotion performance and revenue contribution.
  • Own management reporting and data-driven summaries for leadership.
  • Build and validate Excel-based models, trackers, and databases.
  • Reconcile information across source systems and explain data variances.
  • Create concise presentations for cross-functional partners and leaders.

Skills

Advanced Excel
Forecasting
Communication
Analytical skills

Education

Bachelor's degree in finance or related field

Tools

Power BI
Tableau
SQL

Job description

Norwegian Cruise Line Holdings Ltd. is seeking a Financial Analyst in Miami, FL. The role supports financial planning and analysis, forecasting, reporting, and data-driven insights for revenue management and commercial decisions.

The successful candidate will build models, analyze performance, and partner across Finance, Sales, and Operations to drive action. Strong Excel, BI/tools experience, and 2+ years in a data-rich environment are preferred.

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