Top Data & Analytics Jobs in Orlando, FL

Deliver timely executive and operational reporting, build and maintain KPI dashboards, reconcile financial and operational data, enable forecasting and planning inputs, automate reporting, and ensure data quality and metric governance to drive decision-ready insights.

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.

Design, build, and maintain AWS- and Snowflake-based data ingestion pipelines and curated analytical data views. Implement ETL/streaming solutions, data quality checks, and CI/CD practices while supporting stakeholders, troubleshooting issues, and enabling analytics and feature engineering.

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.

Design and build scalable data lakes/warehouses/lakehouses and Python ETL/ELT pipelines. Orchestrate workflows with Airflow, ingest from 3rd-party APIs, optimize columnar formats and SQL, support ML initiatives, consult with stakeholders, and build cloud/on-prem infrastructure.

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

Design and deliver BI reports, dashboards, scorecards and analytic solutions for Medical Economics. Partner with business, actuarial, and technical teams to gather requirements, define business rules, manage BI development lifecycle, investigate trends, maintain knowledge base, and support analytics projects to inform cost and performance decisions.

Perform data collection, analysis, interpretation, and presentation to support operational and strategic decisions. Develop dashboards and visualization tools, document methodologies, monitor KPIs, recommend provider network reimbursement rates and processes, research claim/provider issues, present findings, and ensure timely delivery of analyses.

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.