Top Senior Analysis Reporting Jobs in Orlando, FL

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

The Director of Analytics and Performance will manage campaign analytics, provide insights and strategies for healthcare clients, and collaborate with internal teams and external agencies.

The Sr. BI & Measurement Strategist develops and maintains advanced measurement strategies including Media Mix Models, translating complex insights for executive stakeholders, and driving business performance through data storytelling and strategic recommendations.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

The Lead Data Platform Engineer will design and build Virtuous's data platform, ensuring it is secure, scalable, and AI-ready. Responsibilities include architecting access controls, optimizing performance, and enabling self-service analytics while maintaining governance and compliance standards.

As a Senior Business Systems Analyst, you'll manage SaaS portfolios, identify AI automation opportunities, gather requirements for engineering, and provide insights into cross-functional initiatives.

The Capital Analytics Lead will analyze capital, margin, liquidity, and counterparty risk, support regulatory engagement, and produce insights for senior leadership.

As a Senior Yield Manager, you'll optimize digital advertising revenue through effective pricing and inventory strategies, utilizing AI insights for improved forecasting and performance.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.