Top Data & Analytics Jobs in Orlando, FL

Lead operational and payroll reporting, data governance, and automation enablement for the Employee Service Center. Build and maintain dashboards and recurring reports, analyze trends and root causes, identify AI/automation opportunities, support ServiceNow data governance and UAT, and deliver actionable insights to stakeholders and leadership.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

Lead design and implementation of enterprise data architecture and cloud-based data solutions. Manage large data engineering projects, develop data models and pipelines, ensure governance and security compliance, advise clients strategically, and build high-performing inclusive teams.

Design and maintain scalable ETL pipelines and analytics-ready datasets using SQL, Alteryx, Python, Snowflake, and Oracle. Build and maintain Tableau dashboards and reports, perform data validation and reconciliation, gather business requirements, and deliver insights for inventory, yield, operations, call center, loyalty, and executive stakeholders.

Analyze, integrate, clean, and model operational and technical data to produce dashboards, reports, and forecasts. Identify trends, lifecycle/status, risks, and noncompliant assets; support automation, data quality improvements, and decision-making across engineering and operations teams.

Lead production and maintenance of airport-related geospatial data, maps, and metadata. Design and manage GIS databases and Esri-based architecture, develop scripts and ETL processes, process GPS data, perform QA and cartography, support CAD/BIM conversions, and manage GIS projects while staying current on GIS/CAD/BIM tools and representing the firm at industry events.

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

Support product, content, and revenue teams by building and maintaining dashboards, performing ad hoc analyses of user engagement and monetization, validating data quality, and analyzing A/B test results to translate findings into clear insights that inform product and business decisions.

Build and maintain scalable data processing pipelines and the data warehouse, write tested performant code, develop product features, establish data engineering standards, and collaborate across product and engineering to improve data access and quality.

Design, build, and maintain large-scale data pipelines and ETL processes using PySpark/Apache Spark, SQL/NoSQL stores, Hadoop, and Kafka. Work with cloud platforms (AWS/Azure/GCP), data lakes and warehouses, and Python for data manipulation. Lead projects, perform systems analysis, ensure delivery under deadlines, and collaborate across teams. CI/CD and containerization experience is a plus.