Top Remote Data & Analytics Jobs in Orlando, FL

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.

Analyze large complex datasets to identify trends and anomalies, produce actionable insights and financial models, document processes, present findings to stakeholders, manage projects and client relationships, mentor junior staff, and support planning and delivery.

The Dynamics 365 Functional Analyst will implement and support ERP solutions, focusing on business process optimization and providing expert-level support.

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.

The Data Integration Engineer will manage data integrations and ETL processes for healthcare data, ensuring accuracy and accessibility for business users.

The Lead Data Analyst analyzes audience behavior and content performance on streaming platforms, providing insights to drive product strategy and business decisions through data analysis and reporting.

The Solution Architect will lead AI-driven client engagements, architect solutions, and drive project feasibility, collaborating closely with cross-functional teams to deliver innovation for enterprises.

The Data Strategist will manage M&A integration by creating financial models, prioritizing data requests, and collaborating cross-functionally to optimize data value and operational efficiency.

The Lead Supply Chain Economics Analyst provides analytics support and insights to senior leadership, develops revenue performance metrics, and collaborates with partners to enhance pharmacy network strategies using advanced analytics and AI technologies.

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