Top Data & Analytics Jobs in Orlando, FL

Evaluate claims operational and financial performance, identify trends and root causes, and deliver actionable insights for business decisions. Develop dashboards, scorecards, KPI reporting, and self-service analytics; apply statistical and hypothesis-driven analysis; communicate findings to executive, technical, and operational audiences; and collaborate with data engineering, analytics, actuarial, product, and claims leaders to improve data quality, governance, and reporting repeatability.

Design and scale reliable data platforms, pipelines, Java microservices, APIs, and reporting infrastructure. Build data validation and reconciliation workflows, support distributed systems, improve pipeline performance and resiliency, and partner with engineering, analytics, and business teams. Contribute to cloud-native infrastructure, CI/CD, Docker, Kubernetes, dashboards, and self-service reporting modernization.

Manage and control program documentation and data for a defense engineering portfolio. Responsibilities include maintaining document repositories, templates, registers, metadata, version control, and baselines; coordinating peer reviews and customer submissions; tracking deliverables, risks, and actions; performing documentation quality checks; supporting audits and change processes; and collaborating with engineering teams to ensure accurate, compliant, and traceable data.

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.

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 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.

Designs, develops, and maintains Talend-based ETL pipelines and large-scale data integrations supporting finance operations. Provides systems and application support across Talend, UiPath, Teradata, Qlik, and Verizon platforms; maintains development, UAT, and production servers; remediates vulnerabilities; and builds data-driven user interfaces, dashboards, and reporting controls. Leads tool research, automation, process improvement, documentation, training, and cross-functional technical initiatives.

Analyze complex, high-volume data; create dashboards, visualizations, KPI reports, and ad hoc analyses; communicate actionable insights to technical and non-technical stakeholders; collaborate cross-functionally to define analytics requirements; improve reporting practices; and provide guidance and training on analytical tools and methodologies.

Leads and develops the data analytics team while owning the analytics strategy, roadmap, and self-service reporting capabilities. Designs Power BI dashboards, SSAS Tabular models, and SQL-based analytics solutions across enterprise data platforms. Partners with executives and stakeholders to translate data into actionable insights, improve governance, and promote data-driven decisions. Drives AI-augmented analytics initiatives involving Microsoft Fabric, Copilot, Azure OpenAI, predictive reporting, natural-language querying, and responsible AI practices.

Leads a team building and improving scalable data products, pipelines, and processes supporting guest experiences. Translates business needs into engineering work, executes data product roadmaps, mentors engineers, establishes data and engineering standards, and supports data collection, onboarding, quality, security, and privacy. Collaborates with technical and business stakeholders in a matrixed organization while monitoring technology and consumer privacy trends.