Top Data & Analytics Jobs in Orlando, FL

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.

Support marketing and revenue management with performance reporting, analysis, and planning. Analyze sales, attendance, and revenue by product/channel, maintain Excel models and Power BI dashboards, support monthly/seasonal planning, coordinate cross-functional inputs, and prepare materials for senior stakeholders.

Manage and maintain the donor database and advancement systems, process and reconcile gifts, generate reports and dashboards, analyze donor trends, oversee data integrity and security, supervise data staff, support fundraising campaigns, and ensure compliance with privacy and reporting requirements.

The Sr. Analyst compiles complex data for performance evaluation, develops economic models, and collaborates across teams to produce various reports while ensuring compliance.

Design, build, and optimize Databricks-based data pipelines and Lakehouse architectures. Implement ETL/ELT, MLOps, model tracking with MLflow, performance tuning, monitoring, and data governance across cloud storage platforms. Collaborate with architects, data scientists, and clients to deliver scalable, secure AI/ML solutions.

Manage grant calendars, reporting, and compliance; collect and validate program data; generate reports from HMIS/CorSalis; support proposal development and funder communications; maintain dashboards, track outcomes, and assist with strategic projects and process improvements.

The Workday Analyst supports and improves the Workday Payroll module, focusing on systems analysis, technical support, payroll configurations, reporting, and process improvements for US and Canada payroll environments.

Design analytical models, metric logic, and data schemas powering an AI marketing product; spec models and partner with engineering and AI teams; lead incrementality testing, power analysis, and MMM support; translate test results into budget recommendations and measurement guidance for paid media teams.