Top Data & Analytics Jobs in Orlando, FL

Lead design and implementation of enterprise data architecture and cloud-based data solutions. Manage large data engineering projects, develop data models and pipelines, ensure governance and security compliance, advise clients strategically, and build high-performing inclusive teams.

Designs and operates a scalable data platform supporting entity resolution, knowledge graphs, real-time risk assessment, APIs, and batch and streaming pipelines. Owns data reliability, observability, governance, performance, and platform architecture while collaborating with data science, analytics, product, and engineering teams. The role requires graph databases, cloud-native AWS services, modern data stack technologies, DevOps, and data-as-a-service experience.

Leads Data Engineering, Data Governance, and BI/Analytics teams while owning enterprise data platform architecture, pipelines, governance, warehouse or lakehouse design, BI strategy, and data quality. Serves as the technical bridge between data teams and business stakeholders, manages the platform roadmap, and oversees governed data integration for Glean AI search and agent tools. This hands-on director role combines architecture, engineering, people leadership, strategic planning, and stakeholder partnership.

Design and execute complex analyses evaluating property claims operations, process changes, tools, and vendor partnerships. Build reporting frameworks, synthesize multi-source data, and translate findings into actionable recommendations for senior stakeholders. Independently lead analytical projects that improve financial outcomes, claims handling, customer results, and operational efficiency.

Leads database engineering for MIS by gathering integration requirements, designing and maintaining databases and data feeds, monitoring performance, debugging scripts and programs, and ensuring secure data storage, backup, archiving, quality, and accuracy. Collaborates with clients, internal teams, banking institutions, and third-party administrators while documenting technical projects and supporting broader Technology initiatives.

Designs and maintains scalable ELT/ETL pipelines, data models, and automation systems supporting cloud cost visibility and optimization. Uses Python, SQL, dbt, Airflow, AWS services, and Snowflake to process telemetry and usage data. Optimizes performance, reliability, storage, and compute costs while ensuring data quality, validation, and auditability. Partners with Engineering, Finance, and Product stakeholders on usage-based insights and cost-efficiency initiatives.

Lead Jira reporting and analytics for CPE ST3 by building executive, portfolio, and team dashboards; authoring JQL; tracking Agile flow metrics; integrating Jira with Power BI and Confluence; analyzing baseline delivery data; recommending process improvements; and presenting actionable findings to senior Government leadership. The role also supports a live Jira demonstration and operational dashboard deployment requiring active stakeholder access.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Leads research, design, development, testing, deployment, and sustainment of advanced data engineering solutions using GenAI. Designs data pipelines, structures, databases, and architectures; translates business requirements into technical tasks; leads code reviews and project planning; collaborates across teams; and performs hands-on development using SQL, Python, cloud, containerization, orchestration, and source-control technologies.

Leads data engineering teams responsible for designing, developing, and maintaining scalable data systems, integrations, pipelines, warehouses, and governance solutions. Provides technical leadership, mentorship, architecture guidance, and cross-functional coordination to meet business requirements, service-level agreements, compliance standards, and operational goals. Evaluates emerging technologies and oversees internal and outsourced resources supporting master data management, analytics, data warehousing, and enterprise information systems.