Top Remote Data & Analytics Jobs in Tampa, FL

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.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

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.

Entry-level data analyst supporting advertising insights and custom analytics engagements. Pulls and cleans competitive ad spend and creative data, runs share-of-spend and creative-surfacing workflows, builds early hypotheses, performs QA, and supports multiple accounts while learning internal tools and methodologies to grow into a client-facing analyst role.

The Workday Analyst supports and improves the Workday Payroll module, focusing on systems analysis, technical support, payroll configurations, reporting, and process improvements for US and Canada payroll environments.