Top Senior Data & Analytics Jobs in Tampa, FL

Leads data modernization initiatives for healthcare payer clients, designing pipelines, integrations, transformations, architectures, and warehouse solutions. Manages complex delivery using Airflow, Azure Data Factory, Databricks, and Snowflake; improves data quality, governance, security, and performance. Advises clients on data strategy and modernization roadmaps while coaching technical teams and aligning solutions with business, reporting, compliance, and security requirements.

Leads enterprise sanctions-screening analytics strategy, developing KPI frameworks, governance standards, dashboards, root-cause analyses, and predictive insights. Identifies false-positive drivers, workflow bottlenecks, and automation opportunities while recommending tuning and process improvements. Partners with technology, operations, compliance, and governance stakeholders to build business cases, implement analytics-enabled automation, monitor performance, and deliver executive-ready reporting.

Leads customer insights management for Insurance Operations, translating customer, experience, and operational data into executive recommendations. Oversees KPIs, reporting, research, journey mapping, customer analytics, root-cause analysis, AI-enabled insights, and cross-functional improvement initiatives. Shapes the customer experience strategy and roadmap, manages team priorities and resources, leads strategic projects, and develops team capabilities through coaching and cross-training.

Leads workforce capacity planning and optimization for a retail support team. Analyzes performance, financial, operational, and workforce data to identify trends, evaluate risks, and recommend strategic improvements. Partners cross-functionally, develops analytical frameworks, prepares impact analyses, influences business decisions, delivers executive presentations, and guides team members while ensuring compliance with risk policies.

Develop and maintain Adobe Analytics dashboards and reporting solutions, query and analyze enterprise data, identify performance trends, and deliver actionable insights for digital acquisition teams. The role defines metrics, supports strategic decisions, presents recommendations to stakeholders, trains business users, and partners with product and technology teams to improve digital customer experiences.

Leads business and technology requirements for regulatory reporting and credit risk systems. Defines BRDs, functional specifications, data models, ETL processes, data quality rules, governance, lineage, and reporting solutions using OFSAA and related platforms. Performs data analysis, fit-gap assessments, reconciliation configuration, testing support, defect management, and implementation assistance. Develops project plans, user manuals, and training while coordinating with business stakeholders, technology partners, and Oracle.

Analyzes complex business data, maintains databases, develops performance and ad hoc reports, identifies anomalies, and recommends improvements. Supports SQL Server environments and backend database objects, translating business requirements into reliable technical solutions. The role also troubleshoots data quality and production issues, considers downstream reporting impacts, and provides technical guidance to junior staff.

Supports enterprise data governance and data risk management across business domains. Responsibilities include implementing governance policies, onboarding data assets, managing metadata and lineage, supporting governance tools, tracking KPIs, facilitating stakeholder sessions, translating business requirements, and coordinating risk and control assessments. The role also identifies data quality issues, monitors controls, documents remediation activities, and communicates governance progress, risks, and dependencies.

Lead data analysis supporting USCENTCOM’s data lake, machine learning initiatives, and intelligence operations. Responsibilities include researching and testing data methodologies, analyzing large datasets, developing data pipelines, integrating analytics tools, establishing metrics, visualizing findings, and advising military clients and stakeholders. The role requires translating complex data into actionable recommendations and supporting intelligence products through quantitative and qualitative analysis.

Designs, develops, and supports scalable ETL pipelines and large-scale data platforms using Python, PySpark, SQL Server, SSIS, and Hadoop technologies. Responsibilities include database performance tuning, data modeling, production troubleshooting, batch scheduling, data-quality controls, CI/CD, secure development, and collaboration across technical teams. The role also involves mentoring developers and evaluating AI-assisted development tools.

Build and maintain data ingestion, warehousing, modeling, historical repository, data quality, reconciliation, lineage, and regulatory reporting solutions for financial services risk programs. Analyze complex data issues, support testing and production activities, and collaborate with risk, compliance, audit, technology, and reporting stakeholders. Develop datasets for Power BI and ensure audit-ready documentation in regulated environments.