Top Data & Analytics Jobs in Jacksonville, FL

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.

Support implementation of Bluesight SaaS by extracting, transforming, loading, and validating customer data. Configure infrastructure, write and debug scripts, communicate findings to customers, document processes, and collaborate with product and engineering to improve pipelines and resolve technical issues.

Lead GTM productivity analytics: build and maintain predictive capacity models and dashboards, analyze GTM performance and attainment, support planning and forecasting, align metrics across Ops/Finance, and partner on data infrastructure improvements to drive GTM efficiency and growth.

Design, build, and optimize distributed query solutions using Starburst/Trino. Enable secure, governed data access across cloud and on-premises sources, implement data federation and query optimization, support IAM and governance in a federal environment, develop backend services and CI/CD, and troubleshoot performance in cloud-native systems.

The Executive Director leads Global Clinical Pharmacology & Development Technology Solutions, overseeing technology strategy, solution delivery, and team leadership to support R&D initiatives in cancer treatment.

The Surveillance Analyst analyzes trading activity for potential violations, validates output from surveillance systems, and communicates with member firms. They conduct research, assist in survey design, and document investigative processes.

Own forecasting and capacity planning for contact center and pharmacy operations. Build short- and long-term forecasts, translate them into staffing plans, analyze trends and variances, develop dashboards, support scenario modeling, and partner with Operations, Finance, HR, and Engineering to align hiring and optimize systems.

Serve as a subject matter expert for data requests and system updates: design database structures, build and maintain data pipelines, write and optimize SQL, clean and transform data with SQL and Python, create dashboards and visualizations, analyze large datasets, and automate processes to improve data quality and workflows.

As a Data Analyst, you will build dbt models in Redshift, maintain data pipelines, and provide insights to enhance customer decisions while collaborating with internal teams.