Top Senior Data & Analytics Jobs in Tampa, FL

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.

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.

Conducts QA/QC and detailed analysis of lidar, imagery, elevation, hydrography, terrain, and other geospatial products. Creates derivative data, reports, metadata, documentation, and process improvements; trains junior staff; leads quality meetings; coordinates analysts; represents quality teams with clients; and supports project scope, budget, and resource estimates.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Build and operate reliable data infrastructure, including event-driven architectures, streaming and ingestion pipelines, API integrations, and automated workflows. Develop agentic systems that interpret events and trigger business actions, while ensuring data quality, observability, error handling, and safe execution. Partner with analytics teams, contribute to data architecture strategy, and manage multiple engineering projects. The role requires strong Python expertise and experience with real-time data systems, orchestration, and integrations.

Leads end-to-end analytics engagements for client accounts, including data architecture, statistical analysis, dashboard development, SQL modeling, executive presentations, and strategic recommendations. Manages analytical roadmaps, billing and scope tracking, client relationships, and competitive benchmarking. Mentors junior analysts, governs Tableau and Power BI reporting standards, and improves team methodologies. Requires advanced analytics expertise, strong executive communication, and significant client-facing experience in B2B, enterprise, or channel sales environments.

Manages enterprise data governance, quality, metadata, classification, ontologies, taxonomies, and data architectures supporting mission-critical defense systems. Develops data processes, pipelines, analytics, metrics, documentation, and lifecycle support for data applications. Collaborates with data owners and integrated project teams, delivers training, leads governance efforts, and mentors junior staff while ensuring alignment with DoD standards and operational requirements.

Supports SOCOM data initiatives by gathering requirements, developing methodologies, generating software requirements, testing tools, and discovering, aggregating, manipulating, and visualizing disparate data sources. Works with customers and stakeholders to identify analytical solutions, expose datasets, support data fusion, and use data science techniques to detect trends and patterns. Requires communication skills and experience supporting the Special Operations community.

Designs, builds, tests, and supports enterprise data pipelines for acquired-company system integration and Snowflake archival. Translates business and technical requirements into mappings, transformations, quality controls, monitoring, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams to deliver governed, reusable data solutions. Supports migration, cutover, validation, documentation, hypercare, and operational handoff while improving automation, performance, cost efficiency, and data observability.