Top Analysis Reporting Jobs in Orlando, FL

The Data Entry Specialist is responsible for inputting and maintaining various data types in company databases, ensuring accuracy and confidentiality.

The role involves configuring FAST Policy Administration System to improve insurance services, collaborating with experts, and ensuring data integrity.

The AV Safety Analytics Engineer will develop data analytics infrastructure for automated vehicle safety, utilizing cloud processing and statistical methods. Responsibilities include creating data visualizations, monitoring metrics, and ensuring data integrity across systems.

The Revenue Strategy & Planning Manager will develop actionable growth plans by analyzing data, building reports, and collaborating with Sales leaders to enhance B2B revenue strategies.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

The Healthcare Analyst II will analyze clinical data to improve healthcare programs, collaborate with teams, and produce actionable insights using statistical tools.

The Senior Data & Analytics Consultant will lead data structuring, reporting, and analysis for the pet business, ensuring accurate reporting to meet business objectives.

As the Capital Markets Manager, you will secure funding through securitization programs, manage partnerships, and lead structured finance negotiations while mentoring your team.

Lead the Competitive Pricing program at Upstart by managing data, providing strategic insights, and influencing pricing decisions to optimize marketplace operations.

The Cloud Data Architect will design and implement data architecture solutions within a SaaS environment, ensuring data security and efficiency while leading technical standards and collaborative teams.