Top Remote Data & Analytics Jobs in Tampa, FL

Design, operate, and scale end-to-end data infrastructure and pipelines. Build reusable data models and a semantic layer, ensure data quality and privacy, implement observability and SLAs, support marketing and growth feeds, partner with cross-functional stakeholders, and enable ML/AI consumption and reverse ETL workflows.

Lead category and customer analytics to identify growth opportunities using POS, syndicated, and shopper data. Develop omni-channel insights, assortment and promotional recommendations, present to customers, and collaborate with Customer Development Managers to drive sales and strategic initiatives while ensuring accurate, error-free data and clear stakeholder communication.

Senior individual-contributor analyst who researches and models enterprise and workforce costs (compensation, benefits, total rewards). Forecasts large-scale cost initiatives, synthesizes proprietary and public data, publishes guidance for CHROs, advises senior leaders, delivers presentations, mentors junior staff, and collaborates across research and analytics teams. Up to 25% travel.

Support product analytics for the NPR App, site, and video by designing measurement plans, implementing and QCing tags, querying BigQuery, building dashboards, diagnosing data issues, automating reports, and producing analyses and documentation for stakeholders.

Own and architect the semantic layer and metrics/metadata for the data platform (Databricks/GCP). Build AI-ready models, enforce modeling and documentation standards, implement observability/testing for pipelines, enable self-serve analytics, and collaborate across product, clinical, and business teams to translate questions into reliable data solutions.

Design, build, and enhance executive Power BI dashboards and scalable data models. Develop DAX, Power Query, optimized visuals, KPIs, templates, and governance while iterating with stakeholders to deliver role-based reporting and drill-through navigation.

Lead end-to-end SAP S/4HANA data migration: define strategy, analyze and cleanse legacy data, map and transform data, execute mock and production loads using SAP migration tools, validate and reconcile results, support cutover, testing and post-go-live hypercare while partnering with stakeholders and technical teams.

The Senior Analyst, Revenue Operations is responsible for delivering analytical insights, enhancing forecasting accuracy, and optimizing revenue processes while collaborating with various departments.

Transform complex data into actionable insights, develop reports and dashboards, ensure data quality, and manage client relationships to meet their data needs.

The EHSS & Quality Senior Analyst leads data management for EHS, ESG, and Quality goals, ensuring compliance and driving continuous improvement initiatives. Responsibilities include data collection, analysis, and reporting, as well as the development of dashboards and automation processes.