Top Senior Data & Analytics Jobs in Tampa, FL

Analyze complex data, develop automation strategies, create reporting, and support operational efficiency and strategic initiatives. Coordinate cross-functional teams, assess risks, make departmental decisions, coach team members, and use AI, ETL, visualization, and analytics tools to deliver actionable insights and improve customer outcomes.

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.

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.

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.

Coordinates complex business impact analyses, consolidates forecast and month-end results, prepares executive reporting, and develops solutions for business needs. Collaborates with business and technical teams on product enhancements, optimizes reporting processes, supports internal audits, and serves as a data expert for selected applications. The role requires advanced data analysis, visualization, problem-solving, presentation, and stakeholder leadership skills in a hybrid healthcare business environment.

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.

Leads the design, development, optimization, and security of very large SQL Server databases and data warehouses. Oversees ETL and Microsoft BI pipeline development, data modeling, performance tuning, code reviews, and access management. Collaborates with DBAs, mentors developers, applies AI-assisted optimization, assesses risks, and drives scalable, reliable data products.

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.

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.

Analyzes syndicated, customer, shipment, and consumption data to deliver strategic category insights for major retail clients. Develops reports, dashboards, promotional pricing analyses, business reviews, and customer-specific selling stories. Partners with sales and analytics teams to identify business opportunities, improve trade effectiveness, and translate complex data into actionable recommendations. May mentor Business Intelligence Analysts and support data-quality and process-improvement initiatives.

Leads enterprise-wide member, consumer, marketplace, and competitor research across quantitative, qualitative, and voice-of-member channels. Directs research strategy, governance, methodologies, insights reporting, budgets, vendors, and executive presentations. Builds and manages a high-performing research team, translates business objectives into actionable recommendations, oversees research infrastructure initiatives, and ensures compliance with risk policies. Partners cross-functionally to influence strategic decisions and improve member-centric business outcomes.