Top Senior Level Data & Analytics Jobs in Orlando, FL

The Enablement and Analytics Manager will lead a team of product analysts, oversee capacity planning, and drive efficiencies across personal lines offerings. Responsibilities also include mentoring analysts, collaborating with P&L leaders, and championing operational initiatives to streamline processes and enhance productivity.

As a Senior Game Data Analyst, you will collaborate with stakeholders to translate business goals into actionable analytics tasks, optimize data pipelines, engage in quality assurance, and implement innovative solutions to enhance player experiences.

The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.

This role involves managing the data and analytics program for Revenue Cycle Optimization, leading strategic initiatives, performing financial performance analysis, ensuring accountability for ROI outcomes, preparing performance reports, and training team members on analytics tools and methodologies.

The Staff Data Engineer will design, develop, and maintain data architecture and standards for Data Integration & Data Warehousing projects in BigQuery. They will develop data solutions, document data flows, aid in data governance, and mentor other engineers to improve healthcare data visibility and processes.

The Head of Data Operations will oversee global data operations ensuring data accuracy, availability, and reliability. This role includes managing an international team, overseeing data transfers/services, incident management, and optimizing operational workflows while responding to dynamic priorities.

The Senior Data Scientist at OneDigital is responsible for developing new models and tools for client projects related to health benefits strategies. They will work on data visualization, web application development, and providing R&D support for model enhancements. The role requires a Bachelor's/Master's degree in a relevant quantitative discipline and 4+ years of experience in data science or related fields.