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.

 

PositionSummary:

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.

 

 

• EssentialDutiesandResponsibilities:
  
  Database management: 

• Proficiency with different database technologies (Oracle, Databricks) 

• Familiarity with various database management systems like 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. 

• ETL (Extract, Transform, Load) skills: 

• Designing and implementing ETL processes and workflows. 

• Knowledge of ETL tools  

• Data warehousing: 

• Understanding of data warehouse concepts, structures, and best practices. 

• Implementing and maintaining data warehousing solutions. 

• Cloud computing: 

• Familiarity with cloud platforms and services like 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. 

2. Data quality management: 

• Ensuring that the data is accurate, available, and reliable. 

• Implementing data quality frameworks and validation processes. 

• Working with data scientists, analysts, and other developers to understand requirements and deliver effective solutions. 

3. Business acumen: 

• Understanding business objectives: 

• Comprehending the company’s goals and translating them into data architecture and management strategies. 

• Strategic planning: 

• Ability to develop and implement strategic plans related to data acquisition, storage, and usage to support business obje