Top Data & Analytics Jobs in Tampa, FL

The Platform Engineer, ClickHouse administers and secures ClickHouse clusters, manages Kafka ingestion, integrates with AWS, and ensures CI/CD practices. Responsibilities include schema management, access control, and cluster health monitoring.

The Snowflake Developer designs, develops, and maintains Snowflake environments, data models, and automated data pipelines, ensuring data quality and collaboration with cross-functional teams to meet analytical needs.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

Lead governance and optimization of speech analytics and Qualtrics CX capabilities, integrate survey, speech, and operational data, deliver actionable customer insight narratives, analyze end-to-end journeys to identify friction and drive cross-functional initiatives to improve customer experience and reduce expense.

The IT Business Analyst will support projects in Operations and Regulatory Technology for FXLM, gathering business requirements, analyzing data, and coordinating with stakeholders.

The Catastrophe Risk Analyst evaluates catastrophe models, analyzes large datasets, and collaborates across teams to enhance risk assessments and modeling.

The Actuary will perform complex Loss Reserving projects, utilize advanced statistical techniques, train team members, and develop solutions to business problems while ensuring compliance and effective risk management.

The Digital Analytics Specialist will manage Google Analytics, tag events, monitor SEO using Google Search Console, and integrate data into Datorama and Power BI.

The Analyst will support underwriting, portfolio analysis, and business development initiatives in single-family rental investments, leveraging strong financial modeling skills and analytical capabilities.

Design and govern enterprise-scale Azure data platforms and lakehouse/warehouse solutions. Translate business needs into logical/physical data models, document data flows, set architecture standards, and guide Snowflake and Databricks implementations while collaborating with BI, data engineering, and analytics teams.