Top Data & Analytics Jobs in Orlando, FL

Designs, builds, and operates a scalable data platform supporting entity resolution, knowledge graphs, real-time risk assessment, APIs, and batch or streaming pipelines. Owns data reliability, performance, observability, governance, and platform SLAs. Collaborates with data science, analytics, product, and engineering teams while implementing cloud-native infrastructure, automation, CI/CD, and self-service data capabilities.

Designs and maintains enterprise data models, business definitions, KPI standards, mappings, and transformation requirements across multiple ERP systems and business units. Partners with stakeholders, Data Engineering, and Analytics to standardize data for reporting, AI, planning, and governance. Reviews data structures and datasets, supports data quality and master data management, and ensures semantic models and reports follow approved enterprise standards.

Generates enterprise, market, customer, and competitive insights for Customer Solutions. Analyzes healthcare trends, customer needs, market opportunities, and competitive dynamics; builds models, forecasts, and scenario analyses; translates research and voice-of-customer data into strategic recommendations; presents executive-ready insights; and supports marketing and PMO initiatives.

Generates business, market, customer, and competitive insights for enterprise strategy and growth initiatives. Analyzes healthcare trends, customer needs, market opportunities, and competitive dynamics; builds forecasts, market models, and scenario analyses; synthesizes research, voice-of-customer data, and internal analytics; and presents executive-ready recommendations. Provides analytical and project support to marketing and PMO teams while translating customer insights into strategic actions.

Serve as the technical authority for enterprise SQL Server administration and database engineering. Manage configuration, upgrades, patching, performance, security, backups, disaster recovery, and high availability. Design schemas, optimize T-SQL, enforce data integrity, and establish retention policies. Lead incident root-cause analysis, database initiatives, documentation, and continuous improvement while collaborating with DevOps, infrastructure, engineering, QA, and product teams. Mentor developers and maintain highly available, secure, and recoverable production databases.

Designs and leads UCF’s enterprise data and AI platforms, including Microsoft Fabric, Azure data services, data models, semantic models, analytics datasets, and ETL/ELT pipelines. Administers Microsoft Copilot and Google Gemini, implements governance and security standards, modernizes legacy reporting systems, and provides technical leadership through architecture, code reviews, mentoring, stakeholder consultation, and complex issue resolution.

Leads the enterprise Flexera Data Platform and IT asset management lifecycle for hardware and software. Responsibilities include platform management, discovery and normalization, data governance, reporting, compliance, CMDB maintenance, software lifecycle management, automation, and AI-enabled analytics. The role analyzes complex datasets, resolves data quality issues, coordinates RFCs and upgrades, supports audit readiness, manages stakeholder requests, and drives process improvements across cross-functional technology and sourcing teams.

Collects, cleans, validates, and analyzes data from internal and public sources; develops automated pipelines, KPI reporting, Power BI dashboards, and visualizations; provides data-driven recommendations for strategic planning and organizational improvement. The role collaborates with stakeholders, supports data literacy and self-service reporting, maintains data documentation, and ensures data integrity and privacy across the nonprofit law firm.

Designs and develops data infrastructure, ETL pipelines, prototypes, and enterprise data assets supporting analytics and Data Science. Partners with business users, data scientists, and analytic engineers to deliver solutions from ideation through implementation. Responsibilities include data exploration, testing, validation, monitoring, predictive-modeling support, data visualization, and functional test execution. Provides technical guidance and mentors team members while promoting innovation and process improvement.

Leads operational reporting, analytics, quality monitoring, and data improvement for Government Savings Operations. Manages analysts, oversees KPI and SLA reporting, identifies trends and data-quality issues, and delivers actionable recommendations to leadership. The role drives reporting automation using Power BI and AI-enabled tools, reduces manual data preparation, supports forecasting and capacity planning, maintains controls and documentation, and partners with operations and technology teams on continuous improvement and regulatory compliance.