Top Data & Analytics Jobs in Tampa, FL

Design, develop, and support enterprise BI applications, dashboards, and reports. Integrate BI platforms with data warehouses and enterprise systems, troubleshoot production issues, analyze data quality and performance, and mentor junior engineers. Collaborate with stakeholders to gather requirements and ensure maintainable, well-documented code and on-time delivery.

Review, annotate, and classify large-scale job, resume, and skill datasets to standardize job titles, map occupations, validate metadata, and clean data per strict taxonomy guidelines, ensuring regional relevance across English markets.

Process client data accurately and efficiently in an in-office, entry-level role. Learn data processing workflows, meet quality and quota standards, support team coordination, and may progress to supervisory duties based on performance.

Lead strategy, architecture, and team oversight for the institution's clinical research data warehouse. Align data assets with research and institutional goals, govern common data models (OMOP/PCORnet), enable FHIR/APIs and AI/ML-ready datasets, oversee ETL from Epic (Clarity/Caboodle/Cosmos), support faculty research and grant deliverables, manage staff, and operate within a federal recharge center framework.

The Database Administrator is responsible for planning, designing, and optimizing database systems, managing DB2 databases, and supporting development teams in a rapidly changing environment.

Lead enterprise analytics and data product strategy, defining an AI-enabled data marketplace, semantic models, governed self-service analytics, and tooling roadmaps. Partner with business and tech teams to translate needs into data products, shape AI-enabled capabilities, ensure trust and governance, drive adoption, and measure business value and quality.

Lead end-to-end delivery of data platform engagements: design and implement scalable ingestion and transformation pipelines, write and review production code (Python/SQL/Scala/Spark), architect cloud environments, advise clients, manage and mentor teams, and support practice development and business development activities.

Design and govern enterprise data architecture, optimize DBMS performance and recovery/load strategies, lead database design for enterprise systems, conduct data analysis and access design, and mentor junior staff while serving as project SME.

The Data Specialist will process large volumes of data, perform quality control, modify load files, and assist with document processing procedures. Responsibilities include managing load streams, executing data exports, and providing training to new Data Specialists.

As a Sr Data Engineer, you'll conduct feasibility analyses, develop applications, monitor processes, consult with users, and ensure compliance while serving as a mentor to junior analysts.