Top Data & Analytics Jobs in Orlando, FL

Lead technical execution for data engineering projects: translate business requirements into tasks for offshore teams, coordinate onshore-offshore communication, manage code releases to development and production, and present phase demos to leadership.

Lead processing of survey data into cloud analysis tools, build dashboards and visualizations, train and support clients, collaborate across teams, and deliver high-quality work to meet project objectives and deadlines.

Design, build, and maintain interactive dashboards and visual products that translate complex operational and cybersecurity data into clear insights. Collect requirements, create mockups, automate analytics, and produce metrics for patching, vulnerability, and compliance to support executive and operational decision-making.

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 development and maintenance of actuarial data marts, extracts, reports, validations and audits. Drive requirements, technical specs, automations, and financial analyses; mentor staff and coordinate with vendors and business partners to ensure accurate, auditable financial data.

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.

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.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

Design and maintain scalable ETL pipelines, transform and validate large datasets, and build Tableau dashboards and reports to support operational domains (Inventory, Yield, Call Center, Loyalty). Gather requirements, document business rules, optimize data freshness and pipeline performance, and deliver actionable insights to stakeholders.