Top Remote Data & Analytics Jobs in Jacksonville, FL

Lead GTM analytics for Sales Operations: build and maintain dashboards, run SQL analyses on pipeline/booking/territory/productivity, improve Salesforce data quality, document metrics, support forecasting and ad-hoc GTM analysis, and leverage AI tools to automate and accelerate insights for GTM leadership.

Lead AMS360 data conversion projects: analyze source data, develop field-level mappings, execute and validate test conversions, reconcile data quality issues, use agentic AI to accelerate mapping/validation, maintain documentation, and support go-live activities under aggressive timelines.

Design and build a modern data foundation: develop and scale ETL/ELT pipelines, dbt models and macros, semantic/metric layers, and analytical apps. Ensure pipeline reliability and observability, document systems, gather stakeholder requirements, and contribute to cross-functional analytics and ML initiatives.

Lead data-driven initiatives to analyze complex datasets, build dashboards, present insights to leadership, and drive continuous improvement projects to improve operational performance and inform strategic decisions.

Design, develop, and maintain conceptual, logical, and physical data models for VHA VFMP modernization. Produce ER diagrams, data dictionaries, and metadata; translate business requirements into scalable database designs; support migration, data governance, security, testing, and collaboration with architects, developers, EDI teams, and IPTs to ensure high-volume, interoperable, and maintainable enterprise data solutions.

Lead translation of complex mortgage servicing business needs into scalable data and technology solutions. Perform business and data analysis, create user stories and system specifications, lead data mapping and system conversions, validate data models, support ETL/ELT and reporting, and collaborate with product, data engineering, architects, and software teams to enable data-driven decision-making.

Analyze operational performance, identify root causes, and deliver data-driven recommendations. Build and maintain dashboards/reports using BI tools, write SQL to extract and validate data, monitor labor productivity, partner with stakeholders, and present findings to leadership to drive operational efficiency and continuous improvement.

Partner with sales to design and present scalable Databricks Lakehouse architectures. Consult on big data pipelines, data engineering, and ML projects, validate integrations, build demos and reference architectures, and act as a trusted technical advisor to grow platform adoption and deliver production solutions.

Design analytical models, metric logic, and data schemas powering an AI marketing product; spec models and partner with engineering and AI teams; lead incrementality testing, power analysis, and MMM support; translate test results into budget recommendations and measurement guidance for paid media teams.

The Neuroimaging Engineer will analyze MRI data, develop software for algorithms, and assist in managing neuroimaging databases and quality assurance.