Royal Caribbean Group

Senior Analyst, Financial Data Analytics – Visualization

Royal Caribbean Group

full-time

Posted on:

Location Type: Office

Location: MiamiFloridaUnited States

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About the role

  • Collect and process raw data from various sources into report ready format using SQL, Python, Microsoft Power Query.
  • Design, implement and develop data visualizations using Power BI, Python, and Microsoft Office Suite.
  • Create financial/investment models using advanced features in Excel.
  • Meet with business stakeholders to clarify and document reporting requirements.
  • Recommend data architecture and business structures necessary to support reports and dashboards.
  • Work autonomously and with little direction to complete assignments on tight timelines, coordinating business processes, programs and projects based on the outlined strategies and defined directives.
  • Aggregate large data sets for analysis.
  • Develop data strategies specifically around data structures, identifying critical information, as well as the tools used to retrieve and analyze the data.
  • Perform research and analysis on large data sets—data exploration, trending, regression, and/or basic machine learning.
  • Work with management and other team members to understand and clarify data analysis and reporting needs.
  • Provide guidance and insight into data visualization options for report design.
  • Make actionable recommendations by effectively communicating data analytics insights to a cross-functional group as well as department executives.
  • Create dashboards, automated reports, report templates and presentations.
  • Use advanced data visualization tools, such as Power BI and/or Python, to provide clear, intuitive, and visually compelling interface that are well-designed for end users to quickly identify key themes and insights within data.
  • Responsible for daily/weekly/monthly reporting on business trends and the status of digital experience initiatives for senior management.
  • Not directly responsible for budgeting or achievement of revenue targets.
  • Performs other duties as required.

Requirements

  • Four-year Bachelor’s degree (BS/BA) or an advanced degree, preferably in Analytics/Business/Statistics/Engineering or closely related field with combination thereof and related analytic work experience and/or relevant certifications, including but not limited to reputable data analytics certificates, CPA, CFA.
  • At least 2 years of work experience (excluding capstone projects) in data analysis, data mining, business case development or other related analytical projects in finance/accounting related fields.
  • Experienced in performing either strategic analysis, financial analysis or business intelligence/marketing analytics.
  • Strong proficiency in query/reporting tools, including but not limited to Power BI, Advanced Excel, SQL, and preferably Python.
  • Experience working with large databases, including Databricks, JDE, Oracle (including EPM), SQL Server, and AS400.
  • Proven ability to create polished, user-focused data visualizations and dashboards that reflect strong aesthetic judgment and design sensibility.
  • Ability to work independently on tight timelines to implement solutions with minimal guidance and communicate effectively with both business and technical stakeholders.
  • 2 to 4 years of BI & Analytics development experience.
  • Strong command of Power BI, SQL, Advanced Excel (VBA and visualizations), Microsoft Office Suite and preferably Python.
  • Proficiency in financial forecasting and modeling, as well as data cleansing and processing.
  • Ability to work on complex development BI projects including the proactive identification of issues and coordination of resolutions.
  • Ability to work independently to implement solutions with minimal guidance and communicate effectively with both business and technical stakeholders.
  • Advanced analytical skill set includes critical thinking, and detail oriented.
  • Excellent verbal and written communication skills and interpersonal skills for interacting with external and internal partners and delivering recommendations and results to senior management.
  • Results-oriented team player.
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
SQLPythonPower BIAdvanced ExcelData visualizationData analysisData miningFinancial modelingData cleansingBusiness intelligence
Soft Skills
Critical thinkingDetail orientedEffective communicationInterpersonal skillsResults-orientedAutonomous workTime managementCollaborationProblem-solvingStakeholder engagement
Certifications
Bachelor’s degreeMaster’s degreeData analytics certificatesCPACFA