Top Senior Data & Analytics Jobs in Tampa, FL

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Leads analytics for enterprise AI platform adoption, establishing engagement baselines, behavioral metrics, activation funnels, retention cohorts, dashboards, and value-realization measures. Diagnoses adoption barriers, translates telemetry and qualitative feedback into recommendations, and partners with learning, community, communications, product, and experience teams. Sets KPI targets, measures sustained behavior and ROI, enables stakeholders to interpret insights, and informs targeted re-engagement campaigns and executive reporting.

Lead payments network strategy through data-driven analysis of consumer, merchant, network, and industry data. Build and validate datasets, automate workflows with Python and AI, produce insights for senior management, and drive initiatives to improve profitability across fees, interchange, products, and merchant performance.

The Senior Business Analyst partners with trading desks and technology teams to gather and document business and technical requirements, design workflows, create user stories and acceptance criteria, prioritize application backlogs, and support testing and system implementation. The role analyzes data, facilitates Scrum ceremonies, supports system enhancements, develops process documentation, and manages risks and changes across trading technology solutions. Financial services knowledge and experience with trading operations are important.

Leads the strategy, governance, delivery, and operational execution of business and data analytics for USAA’s Voice of Member program. Oversees data platforms, reporting, advanced analytics, information management, and self-service capabilities. Advises senior leaders through data-driven insights, manages teams and capacity, directs complex projects, ensures risk and compliance, and translates member feedback with operational, financial, behavioral, and market data into business decisions.

Develops and maintains data infrastructure, ETL pipelines, APIs, and data architectures supporting SOCOM. Integrates structured and unstructured data from SQL, NoSQL, and platform APIs; optimizes queries and distributed data systems; manages analytics frameworks, cloud environments, and CI/CD pipelines; and collaborates with stakeholders on data infrastructure needs. The role requires advanced data engineering, distributed computing, database design, and secure national security mission support.

Own end-to-end analytics for a designated business area, including data pipeline development, SQL analysis in AWS Redshift, Tableau dashboards, automated reporting, data quality, and stakeholder communication. Translate complex business questions into actionable insights, develop subject-matter expertise, identify data gaps, and independently drive solutions while partnering with revenue, product, operations, engineering, and BaaS stakeholders.

Leads enterprise business intelligence and data analytics for a U.S. Combatant Command program. Develops Power BI architectures, dashboards, data models, pipelines, KPIs, and reporting products for leadership decision-making. Establishes data governance, quality, provenance, metadata, access controls, and authoritative data sources across classified and unclassified environments. Translates stakeholder decision needs into analytic requirements, evaluates knowledge-management initiatives, supports AI and machine-learning capabilities, documents solutions, trains users, and mentors analysts.

Support and enforce enterprise data governance policies and tooling (Collibra, Ataccama). Maintain data quality, lineage, and compliance; translate steward rules into technical DQ rules; build SQL/Python solutions, dashboards, and integrations; define Jira work and collaborate with stewards, tech teams, and Data Quality squads to enable self-service governance and reporting.

Lead hands-on data architecture for Investor Services across Custody, Fund Administration, and Securities Finance. Define standards, canonical models, schemas, and data governance. Build reusable data architecture utilities, enforce architecture patterns, collaborate with business and delivery teams, and accelerate program delivery while ensuring regulatory auditability and data quality.