Top Data & Analytics Jobs in Jacksonville, FL

The Data Operations Manager will lead the team, define extraction logic for asset data, and train AI models while collaborating with product and clients.

The Director of Data Operations will build and lead the data operations function, drive operational excellence, and integrate AI with human expertise for data extraction and reporting in a dynamic environment.

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.

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.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

Lead the data engineering team, develop and maintain data models and pipelines for risk domains, and manage data quality and governance.

The Data Platform Engineer II role involves automating data infrastructure, scaling analytics platforms, and ensuring system reliability and security. Key responsibilities include managing CI/CD pipelines, configuring secure networking, and collaborating with Data & Analytics teams to optimize performance.

Own end-to-end solution analytics for sales and partners: scope pilots, run analyses, build ROI narratives, present insights to stakeholders, and support partner success and product teams to reduce fraud and demonstrate value.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

The role involves analyzing TA data, providing strategic insights, creating dashboards, and improving recruitment processes to enhance efficiency and decision-making.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.