Top Data & Analytics Jobs in Tampa, FL

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

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.

Develops regulatory compliance analytics and reporting solutions using SQL, dashboards, governed metrics, semantic layers, and AI-enabled business intelligence. Builds and maintains Tableau or similar dashboards, automates reporting with Tableau and Alteryx, evaluates Machine Learning and GenAI opportunities, supports prompt development, and translates stakeholder needs into analytical products. Collaborates with Compliance, Risk, Technology, Finance, and senior governance leaders to improve regulatory engagement insights, adoption, and firm-wide decision-making.

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.

Develops enterprise dashboards, reports, data models, and analytics solutions using Power BI or Tableau. Responsibilities include advanced SQL development, ETL/ELT workflows, data integration, executive reporting, data quality controls, issue resolution, testing, deployment, documentation, and stakeholder collaboration. The role supports operational, risk, regulatory, and financial services reporting initiatives.

Analyze complex datasets using graph and network analysis, identify relationships and anomalies, build dashboards, and translate findings into executive briefings and recommendations. Coordinate contractor, government, and technical teams, track milestones, manage action items, and resolve operational bottlenecks for a high-visibility Department of Defense initiative.

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.

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.

Design and maintain scalable cloud data pipelines, ELT/ETL workflows, data models, and automation systems supporting cloud cost visibility and optimization. Use Python, SQL, dbt, Airflow, AWS services, and Snowflake to process telemetry and usage data. Optimize performance, reliability, and cost while ensuring data quality, validation, and auditability. Partner with Engineering and Finance stakeholders on cost-aware decision-making and usage insights.

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.