Top Senior Data & Analytics Jobs in Jacksonville, FL

As a Revenue Intelligence Architect, you'll build the revenue intelligence stack, including data architecture and AI workflows, to drive growth and predictability in revenue for a modern SaaS platform.

The role leads the People Analytics and AI transformation at WelbeHealth, integrating strategy and technology to enhance workforce decision-making and analytics delivery.

The Staff Data Analyst will build Boulevard's product data foundation, create data-driven recommendations, develop dashboards, conduct deep analyses, and foster a data-driven culture within the organization.

The Data Analyst 2 will partner with various teams to optimize workforce strategies through data analysis, visualization, and reporting. Key responsibilities include extracting data, developing dashboards, and collaborating to inform business decisions.

Design, build, and operate resilient batch and streaming data pipelines. Own datasets end-to-end. Collaborate with data science teams and define data quality standards.

The Senior Manager, Partner Strategy & Analytics will lead analytics initiatives, define partner performance metrics, and drive strategic recommendations across partner programs to influence growth and productivity.

The Senior Manager, People Analytics will lead analytics initiatives to transform workforce data into strategic insights, manage complex projects, and communicate findings to executives, fostering a culture of data-driven decision-making throughout the organization.

The Director of Reporting and Data Management oversees data infrastructure for Workforce Management, establishing objectives, managing teams, ensuring data storytelling aligns with strategy, and leading predictive modeling efforts.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.