Top Analysis Reporting Jobs in Miami, FL

Support the Advanced Innovations Team by researching market and technology trends, designing and assessing pilots (AI/automation), analyzing processes, defining success metrics, preparing reports/dashboards for leadership, coordinating pilots with stakeholders and vendors, monitoring risks and outcomes, and scaling successful initiatives.

Lead and deliver large-scale customer analytics engagements in Communications, Media & Technology. Define analytics strategies, develop thought leadership, oversee CRM modeling, reporting, and predictive analytics to grow client practice and drive data-driven decisions.

Collects, cleans, and analyzes institutional data; produces reports, dashboards, and visualizations; supports accreditation and compliance; designs surveys and assessments; conducts longitudinal and cohort analyses; and provides evidence-based recommendations to university leadership.

Lead technical design and implementation of production-grade data platforms, ETL/ELT and streaming pipelines, containerized Python data applications, Snowflake and dbt modeling, observability, CI/CD, and AI/ML data integrations to enable scalable data products and business-aligned analytics.

Lead destination operational analytics: build dashboards, KPI architecture, and labor productivity models; support Manning Optimization, OPEX/CAPEX planning, Voice of Customer analysis, and executive reporting using AI-enabled tools to drive performance improvements and measurable savings.

The Financial Crime Risk Investigator II conducts investigations of money laundering and terrorist financing, analyzes data, collaborates with law enforcement, and leads project initiatives.

Lead development and maintenance of destination performance dashboards, KPI architecture, and labor productivity models. Provide analytics for manning optimization, OPEX/CAPEX planning, and guest experience insights. Partner with Finance and destination teams to deliver executive-ready analyses, track savings and actions, and apply AI-enabled automation to improve reporting, decision support, and continuous improvement.

Support and maintain complex casino marketing systems and data pipelines (SAS/SQL, batch jobs, EDW, file transfers). Act as technical liaison to IT/DWH/BI/shipboard teams, translate requirements, troubleshoot code and data issues, run UAT, document processes, and optimize automation to improve reliability and revenue outcomes.

Support pricing strategy and commercial initiatives across North America by analyzing customer behavior and market trends, maintaining pricing models and dashboards, managing promotional analyses and reporting, and partnering cross-functionally to identify opportunities, forecast, and optimize revenue and profitability.

Lead design and implementation of scalable cloud data lakes, warehouses, and marts. Build ELT/ETL pipelines, apply Data Vault 2.0 and dimensional modeling, implement data quality, lineage, observability, and governance. Optimize Snowflake/Databricks/Synapse platforms, champion CI/CD and DataOps, mentor engineers, and enable AI/ML-ready data products through collaboration with architecture and product teams.