Top Data & Analytics Jobs in Orlando, FL

Leads actuarial financial data systems and marts, developing data solutions, extracts, reports, analyses, automations, validations, and executive reporting support. Manages data mart maintenance, audits, business requirements, technical specifications, user acceptance testing, and system implementations. Provides technical leadership, coordinates vendors and departments, trains junior staff, and advises project teams on data architecture, business rules, configuration, and financial data quality.

Maintains KPIs, metrics, reports, alerts, database migrations, vendor deployments, hardware replacements, SQL distribution, and roadside replication. Monitors third-party patching, performs deep-dive data analysis, develops Power BI reports, and supports databases across platforms. Analyzes data requirements, architectures, dictionaries, and schemas to design and optimize database solutions. Normalizes business-process information to assess data credibility and relevance.

Analyzes, researches, coordinates, and reports on provider data for internal teams, providers, and regulatory agencies. The role generates reports, performs network and file analysis, supports surveys and ad hoc data requests, validates report accuracy, coordinates with stakeholders, and serves as a technical liaison for provider database information. Responsibilities may also include data support, system enhancements, and testing.

Analyzes, validates, cleans, and maintains training and curriculum data across government and Navy training management systems. Performs data entry, quality control, auditing, statistical analysis, trend identification, anomaly detection, and report generation. Documents methodologies, protects data integrity, and collaborates with instructional designers, subject matter experts, and project teams. This is a temporary, on-call onsite role lasting approximately six months.

Manages confidential district records and data, generates reports and analyses, verifies information across databases and SAP, supports audits and compliance reviews, maintains secure physical and electronic files, assists administrators and stakeholders, and provides technical and administrative support while following confidentiality requirements.

Builds and maintains scalable data pipelines and reusable datasets in Databricks. Ingests, validates, transforms, and models structured and unstructured data using Python, PySpark, and SQL. Integrates warehouse and cloud analytics systems, supports Tableau and Spotfire reporting, improves reliability and performance, and implements testing, monitoring, documentation, and CI/CD. Collaborates with technical and business stakeholders while providing technical guidance, code reviews, and mentorship.

Own the analytics engineering roadmap, architecture, and production data models. Build and optimize dbt models using SQL, Python, and Databricks; establish dimensional models, governed metrics, testing, documentation, lineage, monitoring, and CI/CD practices. Partner with data engineering, analysts, BI developers, and stakeholders to deliver reliable analytics products, improve performance and cost efficiency, investigate data quality issues, and mentor team members.

Build and operate a large-scale enterprise data platform spanning batch and streaming processing, lakehouse storage, Kafka infrastructure, APIs, observability, and agentic MCP interfaces. Develop reusable ingestion and data-quality frameworks, improve scalability and resilience, establish engineering practices, support production operations, and mentor engineers. The role requires deep ownership of distributed data infrastructure and practical use of AI coding agents.

Designs and leads enterprise database architectures, data models, integrations, governance, and performance initiatives. The role supports scalable and secure SQL Server environments, cloud platforms, data warehouses, ETL processes, reporting, analytics, and transportation safety data systems. Responsibilities include optimization, security, backup and recovery, documentation, technical standards, and collaboration with software engineering and business teams. The position requires strong relational database, SQL development, administration, and enterprise data modeling expertise.

Owns workforce master data management and governance across UKG, Oracle, LMS, and related HR technology platforms. The role assesses cross-system impacts, coordinates data integrity efforts, establishes standards and controls, analyzes data quality issues, supports reporting and roadmap initiatives, and guides stakeholders on data ownership and usage. It requires strong HR technology, data governance, analytical, communication, and cross-functional influence skills without direct people management responsibility.