Royal Caribbean Group

Business Intelligence Analyst

Royal Caribbean Group

full-time

Posted on:

Location Type: Office

Location: United States

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About the role

  • Performs data analysis using SQL and internal analytics tools to extract, clean, and manipulate large datasets from multiple systems
  • Identifies trends, behavioral patterns, operational inefficiencies, and revenue-impact opportunities within contact center workflows
  • Supports ongoing analysis of guest behavior, agent performance, call volume, and travel services operations to guide both tactical adjustments and strategic decision-making
  • Develops new metrics, performance indicators, and analytical frameworks that advance reporting maturity
  • Build high-quality dashboards, presentations, and visualizations in Power BI (or similar tools) to clearly communicate insights to technical and non technical stakeholders
  • Creates intuitive interfaces, infographics, or visualization elements that simplify complex information and highlight key findings
  • Analyzes how users interact with reporting tools and recommends enhancements to improve usability and adoption
  • Leads assigned analytics requests and projects end to end, including requirements gathering, data exploration, solution design, testing, and delivery
  • Partners with operations, workforce management, finance, and technology teams to understand business needs and develop meaningful analytics solutions
  • Supports initiatives that improve agent tools, reporting automation, and overall process efficiency
  • Writes and maintains SQL queries, datasets, and data transformations used in reporting solutions
  • Ensures data accuracy through validation checks, documentation, and adherence to data governance standards
  • Identifies opportunities to optimize reporting workflows, automate recurring processes, and improve speed-to-insight

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Industrial Engineering, Data Science, Business Analytics, or related field OR equivalent professional experience
  • 2+ years of hands-on experience with data analysis, business intelligence, or analytics
  • Strong analytical ability with proficiency in writing complex SQL queries
  • Experience using BI and visualization tools such as Power BI or Tableau
  • Working knowledge of statistical techniques, forecasting methodologies, or machine learning concepts
  • Familiarity with scripting or analytical languages (Python, R, SAS, etc.)
  • Strong communication skills with the ability to present insights clearly to technical and non-technical audiences
  • Ability to gather business requirements, empathize with end users, and translate needs into analytical solutions
  • Proficiency with Microsoft Office (Excel, PowerPoint, Word, Access)
  • Understanding of relational databases, data warehousing concepts, and entity relationship models
  • Self-motivated, detail-oriented, and able to manage multiple priorities in a fast-paced environment
Benefits
  • Competitive compensation and benefits package
  • Excellent career development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata analysisbusiness intelligencedata visualizationPower BITableaustatistical techniquesforecasting methodologiesmachine learningdata transformations
Soft Skills
analytical abilitycommunication skillsrequirements gatheringempathypresentation skillsself-motivateddetail-orientedtime managementproblem-solvingcollaboration