Top Data & Analytics Jobs in Tampa, FL

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Lead architecture for data, reporting, and analytics product family: set target-state designs, guide technology evaluation and AI-enabled integrations, produce and review production code, enforce governance, resiliency, security, and auditability, and provide technical leadership across teams and vendors.

Lead design, development, and delivery of SAP BW and BPC analytical solutions for GMX and Finance. Perform data ingestion, modeling, ABAP development, BEx/AfO reporting, BPC planning functions, troubleshooting, S/4HANA migration alignment, stakeholder collaboration, delivery governance, testing, and training to ensure data integrity and solution adoption.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

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.

Lead design and delivery of end-to-end data integration, storage, and analytics solutions. Build scalable ETL/ELT pipelines, cloud-native infrastructure (IaC), CI/CD, data models, and validation frameworks to enable AI/ML. Define SLOs/SLIs, ensure system resilience, prototype rapid solutions, and transition validated patterns for enterprise generalization while working cross-functionally and driving business impact.

Serve as liaison between Risk Management and IT to design data architecture, perform data modeling, QA/UAT, translate business needs into technical requirements, and deliver analytics and process automation recommendations to improve risk information systems.

Drive fraud strategy, policy, and analytics for money-movement fraud. Build and manage fraud rules, analyze moderately complex data sets using SQL/Python/SAS and BI tools, create predictive models and visualizations, consult stakeholders, and ensure fraud risk is identified and controlled across payment channels.

Lead pricing strategy and analytics to optimize profitability. Build financial models, dashboards, and KPIs; evaluate price requests, partner with Sales/Finance/Operations, mentor the pricing team, and present recommendations to leadership.