Top Remote Data & Analytics Jobs in Jacksonville, FL

Lead the data engineering and analytics team, overseeing data processing for utility bills, building data strategies, and ensuring data quality while promoting evidence-based decision-making across the organization.

Lead stewardship of Pharma R&D data, ensuring data quality and compliance, mentor teams, and collaborate with governance and data product teams for best practices.

Lead a global analytics team, implement advanced methodologies, and drive business impact through analytics and experimentation. Build data culture and strategic partnerships to enhance customer experiences and growth opportunities.

Analyze payment funnel performance, identify drivers of attachment and retention, deliver insights to optimize payment growth, and support cross-functional teams.

The Analytics Engineer will develop and manage dbt models and SQL queries, collaborate with stakeholders, ensure data quality, and support data analysis. They'll translate business needs into technical data solutions and maintain clear communication with diverse teams.

As a Principal Data Architect, you'll lead AI-native data transformations using GCP, design AI architectures, modernize legacy systems, and collaborate with clients.

As a Senior Data Scientist, you will lead data initiatives by setting goals, architecting data models, enhancing data quality, and mentoring team members to drive impactful business decisions at SmithRx.

The Head of Strategy, Analytics, and Optimization will lead analytics efforts in simplifying agricultural lending processes, focusing on risk management, automation, and business growth. Responsibilities include developing models, overseeing teams, and ensuring adherence to regulations.

Lead finance partnership with North America Global Markets team, analyzing business problems and influencing teams to drive growth through performance measurement and insights.

Lead consent data solutions focusing on privacy, governance, and compliance. Oversee strategic direction, team leadership, and enterprise partnerships while driving scalable data initiatives.