Data Analytics Engineer

Royal Caribbean Group is hiring a Data Analytics Engineer to join the Revenue Planning & Analysis team in Miami. This full-time, onsite role centers on designing, building, and deploying data processes, reporting capabilities, and analytics solutions that support revenue forecasting and business decisions. The position requires a Bachelor's degree and at least two years of relevant experience.

Responsibilities

• Collaborate with business stakeholders to clarify and document reporting requirements
• Partner with management and team members to understand and refine data analysis and reporting needs
• Engage with technical stakeholders to conduct code reviews and gather feedback
• Contribute to the development, implementation, and maintenance of data processes, BI reporting, and user tools
• Recommend data architecture and engineering structures needed to support reporting
• Create new reports by writing queries or implementing new data processes
• Aggregate large datasets using SQL, Python, and other analytics tools for analysis
• Develop data strategies around data structures, identifying critical information and retrieval/analysis tools
• Conduct research and analysis on large data sets, including data exploration and trend analysis
• Continuously seek opportunities for business improvements, revenue opportunities, and efficiency gains
• Clearly explain tools and results to teams and management
• Develop and deliver concise presentations translating technical methods into business terms
• Perform other duties as required

Requirements

• Bachelor's degree
• Minimum 2 years of work experience in data analysis, data mining, business case development, or related analytical projects
• Equivalent combination of education and experience will be considered
• Strong proficiency in query/reporting tools such as SQL, Python, or other development tools
• Understanding of forecasting, data cleansing, and transformations
• Experience with databases including Oracle, Databricks, or SQL Server
• Strong quantitative analytical and problem-solving skills
• Demonstrated ability to develop and implement applications using programming languages
• Experience with SQL is required
• Experience supporting and interpreting reporting using business intelligence tools; Power BI and Databricks experience is a plus
• Ability to handle dynamic workload balancing across short- and long-term projects
• Clear and effective communication to both business and technical audiences in written and spoken formats

Technologies

• SQL
• Python
• Databricks
• Power BI
• Oracle
• SQL Server

Benefits

• Competitive compensation
• Benefits package
• Excellent career development opportunities

Agency and third-party submissions

Please note this is a direct search by the Company and applications through agencies and other third parties will not be accepted nor will fees be paid for unsolicited resumes. Any unsolicited resumes will be considered the Company's property.