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Sr Analyst Pre-Sales & Onboard Revenue Optimization

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Norwegian Cruise Line
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below
## Sr Analyst Pre-Sales & Onboard Revenue Optimization Apply locations:
Miami, Florida time type:
Full time posted on:
Posted Yesterday job requisition :
JR01596
** GROW YOUR CAREER WITH US
** At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we’re continually seeking applicants who are passionate about hospitality and committed to being their personal best.

As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family!

** APPLY ONLINE
** If you’re interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.
** JOB SUMMARY
** The Senior Analyst, Pre-Sales & Onboard Revenue Optimization serves as the primary technical lead for performance modeling, revenue attribution, and data extraction within the pre-cruise digital ecosystem. This role is focused on the quantitative health of Pre-Sales P&L, utilizing guest data to create rigorous analytical frameworks that identify revenue-generating opportunities. By measuring the commercial impact of technology-enabled solutions, the Senior Analyst provides the statistical foundation required for the Director to drive strategic vision and guide senior leadership decision-making.
** POSITION RESPONSIBILITIES**
* ** Technical Revenue Analysis:
** Conduct advanced quantitative evaluations of guest purchasing behavior and historical transaction data to identify revenue leakage and key conversion triggers in the Pre-Sales cycle.
* ** KPI Architecture & Reporting:
** Develop and maintain automated Power BI dashboards to monitor real-time performance against revenue targets, specifically tracking conversion rates, average order value, and Pre-Sales contribution to the P&L.
* ** Data-Driven Optimization:
** Provide technical validation for A/B testing and platform enhancements to ensure that changes to checkout flows and interfaces result in statistically significant revenue growth.
* ** Predictive Modeling:
** Support the integration of AI and emerging technologies by building models to improve revenue forecasting and guest spend capabilities.
* ** Technical Project Auditing:
** Lead the analytical oversight for platform migrations and system integrations, performing post-launch audits to ensure deployments meet business impact goals.
* ** Cross-Functional Data Alignment:
** Partner with IT and Revenue Management to ensure data integrity across all guest-facing Pre-Sales digital platforms and physical touchpoints.
* ** Competitive Benchmarking:
** Execute technical deep dives into global Pre-Sales trends and competitor digital performance to inform long-term commercial strategy.
** QUALIFICATIONS
* *** DEGREE TYPE:
** Bachelor's Degree
** FIELD(S) OF STUDY:
** Business Analytics, Statistics, Data Science, Information Technology, or a highly quantitative field.
** EXPERIENCE
* ** Minimum 5 years of experience in technical data analysis, online revenue management, or Pre-Sales commerce analytics.
* Demonstrated experience building complex data models that have led to measurable revenue growth.
* Experience managing the analytical lifecycle of complex, cross-functional technology projects.
* Experience in travel, hospitality, or cruise industries is strongly preferred.
** COMPETENCIES & SKILLS**
* ** Advanced Analytics:
** Mastery of Power BI, SQL, and Google Analytics for complex data mining and visualization.
* ** Data-Driven Decision Making:
** A strictly analytical mindset with the ability to translate technical findings into actionable commercial insights.
* ** Technical Project Management:
** Ability to manage data-related timelines and deliver precise results within a fast-paced environment.
* ** Financial Acumen:
** Strong understanding of P&L accountability and the ability to build data-backed business cases for technology investments.
* ** Communication:
**…
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