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Sr. Analyst, Predictive Analytics

2 months ago

Doral, United States Royal Caribbean Group Full time

Sr. Analyst, Predictive Analytics Journey with us Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world. The Royal Caribbean Group’s Revenue Management Development and Systems Team has an exciting career opportunity for a full-time Sr. Analyst, Predictive Analytics reporting to the Sr. Manager, Revenue Management Operations Research. This position will work on-site in Miami, Florida Position Summary: The Revenue Management Development and Systems team is responsible for all data, tools, and reporting for the Revenue Management team. The Senior Technical analyst leads support of the team’s Oracle database, Oracle and SQL Server jobs and reporting. This position directs development of new coding projects and improvements in database administration and serves as lead conduit with the IT department. Provides performance feedback on team analysts' productivity and development. Essential Duties and Responsibilities: Develop, implement and support various revenue management systems, Business Intelligence reporting and user tools. Suggest efficiency and technical improvements to our PL/SQL jobs and systems. Apply quantitative methods and techniques, including forecasting, linear regressions, mixed integer programming, optimization, and statistical analyses. Determine user requirements and business needs to develop new reporting, while incorporating understanding of the business and our current systems. Think creatively and holistically to meet business objectives and gain additional benefits in job and system enhancements. Work closely with the Revenue Management, Finance, and Rev Planning teams to understand their business challenges and objectives and identify opportunities to develop potential business improvements, revenue opportunity, and efficiency gains. Initiate projects to leverage these opportunities, overseeing the development, implementation, and support of such projects, from requirements gathering to development strategy, testing, and implementation. Respond to ad-hoc data and analysis needs while supporting various projects. Conduct analyses of business data, evaluate trends and pattern changes, and learn to disperse results in a format appropriate for the audience. Create new queries or code to develop the data or report and work with teams to ensure the report provides relevant, actionable Revenue Management-related information in the most effective format and medium. Continuously search for potential business improvements, revenue opportunity, and efficiency gains. Own production tools or processes and serve as department and company Subject Matter Expert for those tools. Serve as IT liaison, working with Oracle and DB2 administrators to provide support for our jobs, IT projects, and continuing business objectives. Qualifications, Knowledge and Skills: Master’s degree in Operations Research, Industrial Engineering, or Statistics preferred. Bachelor’s degree from a four-year college or university required (in Operations Research, Industrial Engineering, Statistics, or related field). 3+ years of work experience in related field preferred. Strong quantitative and analytical skills and knowledge of applied statistics. Demonstrated ability to develop and implement applications using a programming language, especially PL/SQL, SAS, or Python. Previous experience in successfully implementing system enhancements and decision-making tools preferred. PL/SQL and Oracle database experience required. Experience in SAS, .NET, and UNIX desired. A facility in picking up new languages or platforms and leveraging them to improve or develop reports or processes. Experience in supporting and interpreting reporting using Access or Business Intelligence tools (Hyperion experience a plus). Experience in forecasting, optimization, or data modeling. Ability to handle dynamic workload, balancing short- and long-term projects. Ability to interpret analytical results into meaningful business terms and translate business needs to programming and data modeling. Ability to communicate clearly and effectively to business and technical audiences in both spoken and written formats. Must possess strong reality check reflex and problem-solving skills. We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon #J-18808-Ljbffr