
Senior Analyst, Financial Data Analytics – Visualization
Royal Caribbean Group
full-time
Posted on:
Location Type: Office
Location: Miami • Florida • United States
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Job Level
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