This position is primarily responsible for deployment optimization, with a strong focus on automating deployment tools and enhancing reporting capabilities for the Deployment Strategy & Projects team. The Analyst will design, build, maintain, and improve technology-driven solutions that support faster, more agile deployment decisions and produce more accurate volume projections for development project business cases. This role is critical during the transition phase of the deployment teams as the organization adapts to a more technology-driven operating model. The individual in this role must be highly proficient in Python and SQL and will work closely with the Senior Analyst and Manager to develop tools, reporting, and analytical capabilities that strengthen deployment planning and decision-making. The Analyst will partner cross-functionally with Data Science, Revenue Management, OBR, Deployment, and other internal teams to integrate data from multiple sources, improve process efficiency, and deliver scalable solutions that support strategic business needs. Essential Duties and Responsibilities Lead deployment optimization analyses, including scenario modeling and tradeoff evaluation, to support data-driven recommendations for destination and itinerary decisions. Design, build, and enhance automation tools that streamline deployment planning, improve decision speed, and increase process scalability across the team. Design, build, and enhance automation tools that streamline deployment planning, improve decision speed, and increase process scalability across the team. Develop and maintain analytical tools, dashboards, and reporting solutions that provide clear visibility into deployment performance, planning assumptions, and strategic opportunities. Use Python, SQL, and reporting platforms to solve complex business problems, automate recurring analyses, and deliver scalable data solutions for deployment planning. Integrate, validate, and manage data from multiple internal and external sources to build reliable datasets that support deployment decisions and destination development initiatives. Forecast passenger volume for future destinations and development projects, strengthening the business cases that support investment and deployment decisions. Support the implementation of new analytical tools and planning solutions by coordinating testing, validating outputs, and helping drive adoption across deployment workflows. Document methodologies, data definitions, assumptions, and reporting logic to ensure consistency, transparency, and long-term scalability of analytical products. Partner closely with Deployment, Data Science, Revenue Management, OBR, and other internal stakeholders to gather requirements, validate outputs, and influence high-quality deployment decisions. 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 and Education Bachelor’s degree in business, Industrial Engineering, Data Science, Analytics, Computer Science, or a related field. Advanced proficiency in Python and SQL is required, with demonstrated ability to build analytical tools, automate recurring workflows, and work with large, complex datasets. Experience developing dashboards, reporting solutions, and data visualizations using tools such as Power BI, Excel, or similar platforms. Strong analytical, quantitative, and problem-solving skills, with the ability to translate data into actionable insights, scenario analyses, and business recommendations. Strong verbal and written communication skills, with the ability to present technical concepts and analytical findings clearly to non-technical and executive audiences. Business acumen and the ability to connect analytical outputs to operational, financial, and strategic decision-making. Demonstrated initiative, curiosity, and continuous-improvement mindset, with a track record of identifying opportunities to enhance processes and analytical capabilities. Excellent interpersonal skills and the ability to collaborate effectively across functions, build credibility, and influence partners at multiple levels of the organization. Strong organizational and prioritization skills, with the ability to manage multiple projects, deadlines, and stakeholder needs in a fast-paced environment. High attention to detail and commitment to data accuracy, quality, and consistency. Ability to thrive in a collaborative team environment while taking ownership of work and driving projects forward independently. Working Conditions The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job with or without reasonable accommodation. The environment includes office location, and /or moving inside/outside the office. Responsibilities include traveling between numerous offices. A high noise level is possible if visiting shipboard or offsite locations.