Top Data & Analytics Jobs in Orlando, FL

Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

The Business Systems Analyst will link business goals with technical execution, leveraging AI tools to improve efficiency and enhance user experience. Responsibilities include project ownership, creating technical documentation, API integration analysis, and testing new products while collaborating with developers and stakeholders.

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 Senior Analyst executes customer decisioning strategies, monitors performance reporting, collaborates with strategy owners on KPIs, and conducts data analysis while adhering to governance standards.

The Business Analyst collaborates with the Product Owner to define project features, writes user stories, participates in scrum ceremonies, and assists in risk mitigation, ensuring project goals are met.

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.

Provide research and analytical support to the VHA IT-Non-IT Workgroup by collecting and analyzing data, preparing reports and briefings for leadership, supporting project planning and KPIs, coordinating meetings, and maintaining documentation to advance IT and non-IT initiatives.

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.

As a Data Engineer, you'll deliver scalable data solutions, participate in technical discussions, and ensure timely, trustworthy data delivery through robust pipelines.