Lead, Data Analytics Engineer

Royal Caribbean Cruises - Miami, FL

Full-time - Mid Level

Miami, FL

Administrative and Support Services

About the position

The Project Lead, Revenue Management Development at Royal Caribbean Group is responsible for overseeing the Revenue Management Development and Systems team, which handles all data, decision tools, reporting, and information needs for the Revenue Planning and Revenue Management teams. This role involves managing a significant forecast automation tool, developing relationships across departments, and coaching team analysts in core competencies. The position requires a blend of project management, technical expertise, and leadership skills to drive pricing solutions and improve decision-making processes across the organization.

Responsibilities

• Develops, implements, and supports Revenue Planning and Revenue Management data, systems, and user tools.
• Drives pricing and promotions solutions for all global brands, markets, and currencies.
• Fully owns and executes large projects, managing planning, requirements gathering, strategy, development, and delivery to teams and management.
• Serves as primary backup to management regarding projects, ad hoc requests, reporting, etc.
• Develops in-depth knowledge of department data, processes, and jobs across databases.
• Owns team production reporting and initiates improvements in data processes.
• Partners with Operations Research, Onboard Revenue, and Deployment teams to provide technical solutions.
• Develops new tools for Revenue teams by understanding their challenges and finding creative solutions.
• Proactively conducts analyses of business data to present insights to the department.
• Leads and develops team members, guiding them in programming, development, and business analysis.
• Presents recommendations and project updates to all levels of management.

Requirements

• Master's degree in Computer Science, Information Technology, Finance, Business, or related field preferred.
• Bachelor's degree in Computer Science, Information Systems, Data Science, Data Analytics, or related field required.
• 4-6 years of work experience in a related field preferred.
• Ability to lead projects, coordinating business and technical needs, and developing robust solutions.
• Demonstrated ability to develop and implement applications using programming languages such as PL/SQL, Python, SAS, JAVA, and UNIX.
• Strong proficiency working with databases, both on-premise and cloud, such as Oracle, Databricks, DB2, MySQL, SQL Server, Azure Synapse, ADF, AWS.
• Ability to interpret analytical results into meaningful business terms and translate business needs to programming and data processes.
• Strong quantitative and analytical skills.

Nice-to-haves

• Experience coaching and developing professional staff.
• Ability to communicate clearly and effectively to business and technical audiences.

Benefits

• Competitive compensation package
• Career development opportunities
• Unique ways to explore the world through travel