Top Senior Data & Analytics Jobs in Orlando, FL

Analyze operational and financial trends for auto bodily injury claims. Collaborate with various teams to create actionable insights and narratives that influence business decisions.

Provide advisory, oversight, and validation of Data and AI governance, risk, and control activities. Support risk assessments (PSPRA, RCRA), maintain process risk/control libraries, advise on KRIs, and collaborate with 1LOD/2LOD stakeholders to strengthen governance and compliance.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

As a Lead Business Analyst, you will optimize business processes, act as a liaison, and support innovative technical solutions. Responsibilities include stakeholder engagement, creating functional specifications, and managing project execution.

The Business Intelligence Developer collaborates to identify analytics gaps, designs scalable data models, and delivers dashboards and insights, optimizing existing resources while ensuring accuracy and accessibility.

Lead Brambles' enterprise data foundations program: define and scale data strategy, governance, MDM, metadata, data quality and architecture; coordinate cross-functional delivery, embed data into ERP/analytics/digital programmes, build teams, and ensure compliance and global adoption.

The Director of Data & Analytics will lead data strategy, analytics initiatives, and reporting capabilities, ensuring data integrity and accessibility while driving informed decision-making across business units.

As a Sr. Data Engineering Consultant, you will build and optimize scalable data solutions and mentor teams while collaborating with clients on data modernization projects.

The FP&A Analyst will partner with cross-functional teams, manage financial data, enhance insights using analytics tools, and drive strategic financial initiatives.

Design the enterprise information architecture for data management, contribute to data integration and BI programs, and establish metrics for value tracking.