Top Data & Analytics Jobs in Jacksonville, FL

Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.

Lead end-to-end data migration projects into Salesforce: cleanse and dedupe large datasets, design ETL and mappings, coordinate with clients, test migrated data, provide technical support, and document migration standards and procedures.

Lead measurement strategy for a book of clients using statistical modeling (MMM), incrementality experiments (MMT), and customer analysis. Build insights from large datasets with R, Python, and SQL, present actionable recommendations to clients, mentor analysts, improve measurement processes, and leverage Nova and AI to optimize deliverables and impact business goals.

Design, build, and maintain Looker/LookML reporting and dashboards; partner with stakeholders to gather requirements; write performant SQL and dbt models; ensure data quality and documentation; analyze large datasets and deliver insights; grow into data engineering tasks (pipelines, orchestration, integrations).

Design and maintain enterprise revenue-cycle KPIs and dashboards, analyze multi-source RCM datasets, build predictive models, identify process improvements, support audit/compliance, lead stakeholder working groups, author executive deliverables, follow PM best practices, mentor junior analysts, and safeguard PHI/PII under DoD controls.

Collects and organizes information for user manuals, training, installation guides, proposals, and reports. Edits functional descriptions and system specifications. Prepares and maintains systems, programming, and operations documentation and procedures. Maintains internal documentation library, supports financial/administrative tasks, coordinates documentation services, and works with Agile teams in a secure remote environment supporting government projects.

Own the embedded BizOps analytics function for a core business area (growth, product, AI, or partnerships). Define problems and metrics, build reports, run analyses and experiments, surface insights, make recommendations, and drive cross-functional execution to improve key business metrics.

Own the analytics function for an embedded business unit: define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI/automation, or partnerships.

Design, build, and maintain scalable data pipelines and models using Databricks, dbt, and PostgreSQL. Develop AWS-based data solutions (Redshift, RDS, S3, Glue, Lambda, DMS), implement ETL/transforms in Python and Java, use Terraform for IaC, monitor with CloudWatch and Splunk, perform code reviews, and collaborate with stakeholders in agile teams to deliver reliable data systems.

The Head of Data will build and manage a centralized data hub, integrating infrastructure and governance to support AI transformation, while driving measurable business value through strategic data initiatives and strong team leadership.