Top Data & Analytics Jobs in Orlando, FL

As a Senior Data Engineer, you will design data pipelines, manage databases, optimize data workflows, ensure data integrity, and collaborate with cross-functional teams on data-driven solutions.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

The Data Engineer designs and manages data pipelines for lead generation, collaborates with Sales, analyzes metrics, and ensures data quality and integrity.

The Control Tester - Data & AI Governance leads testing activities for Data and AI Governance controls, assessing their effectiveness, documenting findings, and communicating with stakeholders.

The role involves improving reserving models, developing predictive models using telematics and claims data, and influencing pricing and underwriting decisions through data analysis.

Lead Data Governance, Data Quality, and Master Data Management initiatives. Partner with data stewards and technical teams to identify gaps, implement remediation, define strategy and roadmap, run daily operations, lead a team of data integrity analysts, and design KPIs and reporting to monitor improvements.

Build and maintain scalable People Analytics data pipelines and models using SQL, Python, Snowflake, and dbt. Monitor pipelines, implement automated tests, create dashboards in Looker, and partner with HR/Finance to ensure data quality, automation, and delivery of analytics solutions.

Deliver timely executive and operational reporting, build and maintain KPI dashboards, reconcile financial and operational data, enable forecasting and planning inputs, automate reporting, and ensure data quality and metric governance to drive decision-ready insights.

The Cloud Data Platform Architect will design scalable cloud data platforms, oversee data governance, and engage clients for optimal data solutions in cloud environments.

The Metadata Specialist ensures metadata quality, integrity, and governance, collaborates on metadata management strategies, and supports data lineage analysis in a financial services context.