Top Senior Data & Analytics Jobs in Tampa, FL

Analyzes fraud and account takeover risks using SQL, SAS, Excel, Tableau, and relational databases. Develops and maintains fraud detection rules, mitigation controls, monitoring processes, performance reports, and segmentation strategies. Investigates major fraud losses and emerging trends, identifies root causes, recommends policy improvements, and provides actionable insights to cross-functional stakeholders and senior management. The role focuses on minimizing fraud losses while reducing customer friction and improving operational performance.

Leads SOF Enterprise data operations, infrastructure, engineering management, data quality, and integration of analytics and AI solutions. Translates stakeholder needs into digital requirements, manages agile development processes, advises on infrastructure and data solutions, and leads distributed teams supporting mission-critical operations.

Creates and maintains GIS data, databases, maps, metadata, and procedures for utility and engineering projects. Researches survey, aerial, LiDAR, environmental, transportation, and utility information; performs GIS analysis; develops paper and web maps; supports engineers and surveyors; manages multiple projects; and identifies workflow improvements. The role requires advanced GIS software expertise, communication skills, independent work, and occasional travel or overtime.

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.

Build and maintain large-scale data infrastructure, ETL pipelines, and cloud-native data applications for a Department of Defense platform. Design systems using Kafka, Flink, Kafka Streams, databases, Kubernetes, and related technologies. Collaborate with experienced engineers to deliver fault-tolerant, low-latency data platforms, while supporting enterprise cloud infrastructure, automation, observability, and data governance.

Leads knowledge management strategy and business process development for USSOCOM. Designs, implements, administers, and optimizes knowledge platforms, including SharePoint, wikis, intranets, and databases. Manages information architecture, taxonomy, content lifecycle, record-keeping, data operations, email distribution lists, Active Directory, and hardware/software requirements. Trains employees, promotes knowledge sharing, evaluates user feedback and analytics, and improves platform usability. Requires an active TS/SCI clearance and eligibility for a counterintelligence polygraph.

Leads the enterprise data governance and stewardship program by administering Alation, managing metadata and business glossaries, coordinating data ownership and stewardship, supporting master data management, and enabling data quality initiatives. Facilitates cross-functional governance forums, tracks remediation and adoption metrics, develops executive scorecards, supports lineage and catalog expansion, and partners with technology, security, privacy, risk, compliance, and legal teams to improve governance processes and accountability.

Lead the enterprise data stewardship and governance program by coordinating Data Owners, Stewards, Engineering, BI, Architecture, Analytics, Security, and MDM teams. Administer Alation and metadata platforms, manage business glossaries, definitions, lineage, ownership, and workflows, and support master data domains. Establish governance processes, monitor data quality, resolve issues, develop scorecards and executive reporting, and drive adoption, automation, and continuous improvement across enterprise data assets.