Top Data & Analytics Jobs in Miami, FL

The Manager I, Analytics will lead a team to enhance data models, ensure data quality, troubleshoot issues, and manage analytics workflows, impacting healthcare information delivery for beneficiaries.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.

The Information Governance Supervisor oversees the Information Governance program, managing staff, procedures, systems, training, and compliance across multiple offices.

The Senior Manager, Performance Data Operations leads the Population Health Impact team, driving performance improvement initiatives, building complex datasets, and communicating insights to stakeholders. Responsibilities include data analytics, program management, and fostering cross-functional relationships.

The Senior Data Engineer will build and manage data pipelines in Snowflake, integrate AI systems, and ensure data security and optimization while collaborating across teams to support revenue analytics.

The Data Engineering Lead will oversee the design and optimization of the data platform, manage a team of engineers, ensure data quality, and collaborate with cross-functional teams for technical specifications and project execution.

The Data Product Manager will oversee the firmographic data foundation, improving data accuracy, structure, and analytics capabilities to enhance talent acquisition and analytics solutions for clients.

The Oracle SQL Programming Intern will document IT processes, gather user requirements, and develop applications within an Oracle database environment while writing and maintaining SQL queries.

The Vice President of Account Services leads analytics strategy, provides data-driven insights to clients, oversees complex analyses, and develops KPI frameworks to improve nonprofit fundraising performance, while mentoring teams and collaborating across functions.

The Data Engineer I will manage data warehouses, extend data pipelines, write SQL and Python scripts, and support data operations.