Senior Analyst, Data Architect

Royal Caribbean Cruises Ltd•Miami, FL

1d•Onsite

About The Position

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. We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International, Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests. The Royal Caribbean Group has an exciting career opportunity for a full time Senior Analyst, Data Architect reporting to the Senior Manager, Data Analytics & AI. Position is onsite and based in Miami, FL. The Data Architect is responsible for the development, operation, and maintenance of computer systems and software applications, operating both in the cloud (primarily Azure platform) and on-premises for the data team product. They develop the architecture for the platform/infrastructure behind the products that helps analyze and process data in the way the organization needs it, making sure those systems are resilient, highly available and performing smoothly. The Architect uses technical knowledge to solve business problems, by means of a systematic and disciplined approach, employing software, hardware, and/or communication technologies to accomplish assignments.

Requirements

Requires a Bachelor’s degree in area of specialty
3+ years of experience in a data/cloud engineering role
Experience with relational SQL and NoSQL databases
Experience with cloud services/providers: AWS, Azure, etc.
Experience with a scripting language: Python, R, etc.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Strong project management and organizational skills
Experience supporting and working with cross-functional teams in a dynamic environment
Knowledge of computer science or engineering technical concepts, practices and procedures within a particular field
Able to communicate and implement technical solutions
Proven ability to collaborate with technical peers
Capable of working independently and as part of a team.
Ability to assist and guide junior staff as necessary
Demonstrate a certain degree of creativity with analytical and problem-solving skills
Strong with methodologies, tools, best practices and processes within specific area of responsibility

Responsibilities

Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud `big data¿ technologies
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Highly analytical and interested in data visualization
Work with data and analytics experts to strive for greater functionality in data systems
Constantly looking to automate their workloads and striving to provide more timely, accurate, complete business analytics