Top Analysis Reporting Jobs in Orlando, FL

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.

Analyze in-park revenue and guest behavior to optimize pricing, promotions, and product mix across Food & Beverage, Retail, Ancillary, and Zoo operations. Build and maintain dashboards, conduct ad hoc analyses and financial modeling, support vendor analytics tools, partner with Finance/Marketing/Operations, and uphold data governance to drive revenue growth.

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.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Design, build, and maintain end-to-end batch and streaming data pipelines on GCP. Migrate legacy warehouses to BigQuery/Bigtable/ClickHouse, orchestrate workflows in Airflow, ensure data quality and observability, and partner with ML engineers on feature pipelines, drift monitoring, and retraining.

Lead analytical support for commercial and sales teams to identify growth opportunities, build advanced reporting and tools (Power BI/Tableau, SQL, Excel), track strategic initiatives, support territory optimization and customer segmentation, develop consumer insights, and provide ad-hoc analysis to drive sales force effectiveness and EBITDA goals.

The Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.

The Marketing Research Analyst analyzes marketing data trends, updates forecasts, assists in budgeting, and generates reports to recommend adjustments for marketing strategies.