Top Remote Data & Analytics Jobs in Tampa, FL

Support definition, validation, testing, and stabilization of mission-critical data integrations and interfaces across source systems, staging, transformation layers, and reporting platforms. Perform source-to-target validation, reconciliations, interface testing, cutover readiness, production stabilization, issue triage, and documentation to ensure accurate federal financial reporting.

Own end-to-end market, company, and competitive research requests: scope, verify sources, track developments, and produce clear, decision-ready written briefs. Maintain research files, handle ad hoc requests with accuracy and turnaround, and help refine research processes. Support internal business needs and prepare work for potential client-facing engagements.

As a Data Analyst at Solace, you will drive operational excellence by identifying inefficiencies, build scalable analytics systems, and communicate data insights to help the business scale effectively.

Senior BI/reporting role focused on LTSS & Dual Eligible programs. Develop ETL pipelines, complex reports, and interactive Power BI/Tableau dashboards; perform advanced data modeling, analysis, and governance to drive operational and clinical improvements.

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 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.

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.

Design and deliver scalable, reliable data services and microservices for real-time and batch processing. Build REST APIs, model data across SQL/NoSQL stores, drive data quality, own deployment/monitoring/incident response, set technical standards, and mentor engineers.

The RevOps Analytics Engineer is responsible for maintaining data infrastructure, building reliable data systems, and supporting revenue analytics through effective data modeling and ETL/ELT processes.