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Analyst, Business Intelligence

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Carnival Corporation & plc
Full Time, Part Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

This position is classified as “in-office.” As an in-office role, it requires employees to work from a designated Carnival office in South Florida Tuesday through Thursday each week. Employees may work from their homes on Mondays and Fridays. Candidates must be located in (or willing to relocate to) the Miami/Ft. Lauderdale area.

The Analyst, Business Intelligence is responsible for developing and maintaining data products such as reports, machine learning models, extracts, automated data pipelines and analyses that support various organizational functions. This role involves converting data into meaningful insights through interactive dashboards and reports, developing machine learning models and Generative AI solutions, and transforming data for business intelligence. The Analyst will collaborate with stakeholders to define goals, gather and analyze data, and provide actionable insights to improve business performance.

They will also be responsible for ensuring data quality, conducting statistical modeling, and developing and supporting BI systems and automated solutions.

Responsibilities
  • Data Analysis, Reports, and Dashboards:
    Work with business teams to review processes and develop data and reporting requirements. Develop queries and analyze data sets. Perform data visualization to explore trends and relationships in data. Develop dashboards, reports, and prepare presentations of analysis, insights, trends, metrics, and results for management and senior leadership to monitor and improve business performance.

  • Database Marketing and Advanced Analytics:
    Develop SQL queries and SAS programs to develop lists of guests that meet campaign and targeted offer criteria. Generate email files, direct mail files, and call lists to communicate offers to the guests. Design, develop, automate, maintain, and enhance machine learning models to prioritize guests for targeted offers, to personalize emails and web experience, and to generate prioritized call lists for database marketing campaigns.

    Analyze campaign response rates and adjust code for future campaigns to optimize booking conversion and maximize revenue. Develop solutions based on Generative AI tools.

  • Data Engineering and Automated Solutions:
    Develop solutions to collect guest and transactional data from a diverse set of sources and implement business rules to calculate relevant KPIs and metrics. Ensure data accuracy and optimize processing performance. Develop scripts to ensure data is collected and processed automatically and reliably on schedule and delivered to the business for timely, data-driven decision making.

  • Performs other duties as assigned

Requirements
  • Bachelor’s Degree is required; experience in Information Systems, Computer Science, Business Administration, Mathematics, or Statistics is preferred.

  • 1+ years of experience working in the Business Intelligence, Analytics, and Data Science area.

  • 1+ years of developer experience with a BI tool.

  • 1+ years of experience with SQL and Databases.

  • Experience with Machine Learning, Generative AI, SAS Discover, Tableau, SAS, SSRS, Enterprise Miner, R, Python, Google Analytics, and Hadoop is a plus.

Benefits
  • Health Benefits

    • Cost-effective medical, dental and vision plans

    • Employee Assistance Program and other mental health resources

    • Additional programs include company paid term life insurance and disability coverage

  • Financial Benefits

    • 401(k) plan that includes a company match

    • Employee Stock Purchase plan

  • Paid Time Off

    • Holidays – All full-time and part-time with benefits employees receive days off for 8 company-wide holidays, plus 2 additional floating holidays to be taken at the employee’s discretion.

    • Vacation Time – All full-time employees at the manager and below level start with 14 days/year; director and above level start with 19 days/year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 84 hours/year. All employees gain additional vacation time with further tenure.

    • Sick Time – All full-time employees receive 80 hours of sick time each year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum…

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