Senior analyst, Data architecture

Senior Analyst, Data Architecture

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 E-commerce Data and Analytics Team has an exciting career opportunity for a full-time Senior Analyst, Data Architecture reporting to the Senior Manager RM Dev and systems.

The position is onsite and based in Miami, Florida.

Position Summary: The Senior Analyst will play a key role in supporting the migration of the new reservation system database to a new platform by performing detailed data analysis, validation, and transformation activities. This position is responsible for assessing data quality, mapping legacy structures to the new schema, developing testing scenarios, and ensuring the accuracy and integrity of migrated data. The Senior Analyst will collaborate closely with database administrators, developers, and business stakeholders to document requirements, identify risks, and support end-to-end testing and reconciliation.

The ideal candidate has strong analytical and SQL skills, experience with large-scale transactional or reservation systems, and a solid understanding of database environments and migration methodologies. Attention to detail, problem-solving ability, and cross-functional communication are critical for success in this role.

• Database management: proficiency with different database technologies (Oracle, Databricks) and familiarity with MySQL, Oracle, and SQL Server.
• SQL Query Optimization: writing and optimizing complex SQL queries for efficient data retrieval, manipulation, and reporting.
• Troubleshooting and Performance Tuning: identifying and resolving issues within Python applications and SQL databases and optimizing performance for scalability and efficiency.
• Understanding of data warehouse concepts, structures, and best practices; implementing and maintaining data warehousing solutions.
• Cloud computing: familiarity with AWS, Azure, or Google Cloud; ability to design and deploy data solutions in a cloud environment.
• Data security: ensuring data security, privacy, and compliance with relevant regulations; implementing data encryption, masking, and auditing techniques; ensuring data accuracy, availability, and reliability.
• Implementing data quality frameworks and validation processes.
• Collaboration:
  
  working with data scientists, analysts, and other developers to understand requirements and deliver effective solutions.

• Master’s degree in computer science, Engineering, Information Systems, Business or related field preferred. Bachelor’s degree from four-year college or university required (in Computer Science, Information Systems, Data Analytics, or related field).
• 6-8 years of work experience in related field preferred.
• Experience and Skills:
  
  proficiency with different database technologies (Oracle, Databricks), knowledge of RDBMS (Oracle, MySQL, SQL Server) and No
  
  SQL, and experience with Cloud databases.
• Ability to code in SQL and Python to manipulate data.
• Ability to create conceptual, logical, and physical data models, including normalization/denormalization, OLTP, OLAP, Star schemas.
• Experience with tools to design and implement ETL processes and workflows, implementing Python/Spark-based pipelines that are scalable and optimized for performance.
• Understanding of data warehouse concepts, structures, and best practices; ability to design and deploy data solutions in a cloud environment.
• Experience establishing data security, privacy, and compliance frameworks and guidelines, implementing data encryption, masking, and auditing techniques.
• Experience implementing frameworks for data quality management, ensuring data accuracy, proper testing, validation, and data availability.
• Ability to align company goals with data architecture and management strategies, to build data acquisition, storage, and usage capabilities to support business objectives.
• Experience planning phases of new…