Top Senior Data & Analytics Jobs in Jacksonville, FL

The Director of Data & Analytics Engineering will lead and build data platform teams, manage architecture and strategy for data systems, and integrate AI in workflows, ensuring reliable, agile data solutions meet business needs.

Design and implement data infrastructure and pipelines, ensuring reliability and quality. Collaborate with teams for data solutions and optimize processes. Coach junior engineers.

The Supply Chain Data Scientist develops analytics to enhance supply chain efficiency and reliability, working with operational data to optimize network performance and decision making.

The Senior Director of Data Platform leads LINQ's Business Systems and Data Engineering functions, overseeing strategy, team development, and ensuring data governance while delivering scalable solutions aligned with business needs.

Responsible for designing, developing, and maintaining databases and ETL systems to support business applications and business intelligence. Collaborates with stakeholders to align business requirements and leads the design of automated solutions for operational efficiency.

Provide advisory, oversight, and validation of governance, risk, and control activities for enterprise Data and AI governance. Support risk assessments (PSPRA, RCRA), maintain PRC libraries, advise on KRIs, collaborate with 1LOD and 2LOD partners, and prepare governance reporting and guidance.

As a Sr. Data Analyst, you'll analyze financial data in structured finance, collaborate with engineering, and provide insights to clients in the industry.

Oversee quality assurance for variant interpretation, lead a team of scientists, ensure adherence to guidelines, and support clinical deliverables.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

The Senior Data Engineer will design and optimize data infrastructure, build scalable data pipelines, and ensure data quality while collaborating with various teams.