Top Senior Data & Analytics Jobs in Orlando, FL

Designs, develops, and maintains BI analytic applications and reports. Gathers requirements, codes complex systems, performs SQL-based data extraction and performance tuning, integrates source systems, conducts testing, mentors junior staff, and supports deployment and documentation. Works cross-functionally to deliver data warehouse solutions and troubleshoot ETL and reporting issues.

Serve as liaison between business and IT to translate requirements into technical solutions. Analyze processes, develop and maintain automated workpapers and reports using VBA, Power Query, and SQL, support system design and testing, document workflows and user guides, improve automation and data integrity, and collaborate with stakeholders and IT to implement scalable reporting solutions.

Design, build, operate, and support ETL/ELT pipelines, integrations, and curated datasets across enterprise systems (Salesforce, Deltek, Autodesk, Azure, Microsoft Fabric). Implement data models, orchestration, API-first services, data quality, governance, and monitoring to support BI, reporting, AI/ML, and secure data delivery.

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.

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.

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 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.

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.

Manage and optimize a hybrid on-premises and Azure data platform, including SQL Server and Azure SQL. Design ETL/ELT pipelines, integrations, and enterprise data warehouse solutions. Partner with FP&A to deliver Power BI reporting and data models. Enforce data governance, security, high availability, disaster recovery, and monitor performance.