Revenue Data Science Analyst - Hybrid Us

One of the best-known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. With parent company Carnival Corporation, Princess has introduced Medallion Class Vacations. This award-winning innovation offers the fastest way to an effortless, personalized vacation.

We’re looking for an amazing Analyst, Revenue Data Science to fill this role, which is based in our Santa Clarita office. You’ll be responsible for discovering profitable ideas from the reservation and customer data, collaborating with business units within the Commercial Department to implement data-science-driven solutions based on these ideas, and delivering significant improvement in revenues and profits. The person will be a trusted advisor to the business units on key strategies and systems on revenue forecasting, optimization, data science, and reporting.

Here’s a summary of what Princess is looking for in its Analyst, Revenue Data Science. Is this you?

Responsibilities

• Maintain and enhance the existing data science solutions within the Commercial Department, including Passenger Revenue, Onboard Revenue, Marketing Planning, Marketing, and Sales.
• Introduce new tools developed by the Data Science Team to the business units and provide training
• Maintain and enhance the revenue management system (YODA)
• Present technical scientific material to non-technical audiences in a way that is meaningful and understandable to them.
• Analyze internal and external data sources to generate ideas for innovative data science solutions with significant impact on business revenues and profits
• Prototype and evaluate the value of the ideas and present findings and recommendations to the business units
• Develop of the data science solutions and deliver the promised values

Requirements

• Revenue Management, Forecasting, Optimization, Reporting: 1 years
• Engaging internal business teams on medium to large-scale enterprise data science projects: 1 years
• Data Science experience applying research and other advanced methodologies to solve complex issues / business problems: 1 years
• Data Science, Operations Research, Economics, Applied Statistics, Applied Mathematics; Advanced degree preferred
• Statistical analysis and modeling: 1 years
• Python, R and SQL: 1 years

What You Can Expect

• Cruise and Travel Privileges for You and Your Family
• Health Benefits
• Tuition & Professional Certification Reimbursement
• 401(k)
• Training & Professional Development
• Rewards & Incentives
• Base Salary Range: $67,800.00 to $91,500.00. The range is applicable for the labor market where the role is intended to be hired. Final base salary is directly related to each candidates' qualifications and experience uniquely.
• Employee Stock Purchase Plan

Our Culture… Stronger Together

Our highest responsibility and top priority is compliance, environmental protection and the health, safety and well-being of our guests, the people in the communities we touch and serve, and our shipboard and shoreside employees. Please visit our site to learn more about our Culture Essentials, Corporate Vision Statement and our Core Values at: https://www.princess.com/aboutus/culture-framework/.

Princess is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Americans with Disabilities Act (ADA)

Princess will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact [email protected]

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