Data Analytics Engineer

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.

 

We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International, Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

 

The Royal Caribbean Group’s Revenue Planning & Analysis Team has an exciting career opportunity for a full time Data Analytics Engineer reporting to the Data Analytics Engineer Lead.  

 

The position is onsite and based in Miami, FL.  

 

The position is also not eligible for work authorization sponsorship.

 

Position Summary:

The Revenue Management Development and Systems team is responsible for all data, decision tools, reporting and information needs for the Revenue Planning and Revenue Management teams. This position assists in supporting the team’s database, jobs, and reports. Serves as contact person for the department to help explain the tools and data results.  Responsibilities include the design, development, and implementation of data processes, reporting, and analytics solutions.  This individual can work under minimal supervision.  They are responsible for interacting with various departments within Royal Caribbean to curate, consolidate, and manipulate data; to analyze and understand results; and to create reports.

 

Essential Duties and Responsibilities:

 

• Meet with business stakeholders to clarify and document reporting requirements 

 

• Works with management & other team members to understand & clarify data analysis and reporting needs

 

 

• Meet with technical stakeholders to perform code reviews and elicit feedback

 

• Assist in developing, implementing, and maintaining data processes, business intelligence reporting, and user tools

 

• Recommend data architecture and engineering structures necessary to support reports

 

 

• Develop new reporting by creating new queries or coding new processes.  Aggregates large data sets in SQL, Python, and other analytical tools for analysis.  Develops data strategies, specifically around data structures, identifying critical information, as well as the tools used to retrieve and analyze the data. Performs research and analysis on large data sets - data exploration, trending, etc. 

 

• Continuously search for potential business improvements, revenue opportunity and efficiency gains.

 

 

• Clearly explain tools and results to teams and management. Develop and conduct clear, concise presentations, communicating technical methods and impacts in business terms. 

 

Performs other duties as required. This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management.

 

 

Qualifications, Knowledge and Skills:

 

• Bachelor's degree preferably in Mathematics, Statistics, Computer Science, Economics, Analytics, Business, Engineering or BS/BA with combination thereof and related analytic work experience or relevant certifications.  

 

• 2 years of work experience in data analysis, data mining, business case development or other related analytical projects. 

 

 

• Equivalent combination of education and experience will be considered

 

• Strong proficiency in query/reporting tools, SQL, Python or other development tools. 

 

 

• Understanding of forecasting, data cleansing and transformations

 

• Experience working with databases, including Oracle, Databricks, or SQL Server

 

• Strong quantitative,