Top Data & Analytics Jobs in Tampa, FL

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.

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.

Develops and maintains business intelligence applications, reports, and SQL-based data solutions. Analyzes requirements, builds and tests complex system components, connects operational data sources, tunes queries, and supports data warehouse integrity. Collaborates with technical and business teams, manages small projects, mentors colleagues, provides training, and serves as a subject matter expert for BI applications.

Develop and support Qlik solutions across the full application lifecycle, including requirements analysis, data integration, scripting, modeling, transformation, testing, deployment, troubleshooting, and production support. The role emphasizes Qlik Cloud modernization, automation, cloud connectivity, enterprise data sources, and scalable technical solutions. It also requires collaboration with stakeholders and technology teams, documentation, standards development, continuous improvement, and identifying opportunities to apply AI and automation.

Performs QA/QC, analysis, and review of lidar, imagery, elevation, vector, hydrography, and other geospatial data products. Creates derivative layers, reports, metadata, documentation, and process improvements; trains junior staff; leads quality meetings; coordinates analysts; supports client communications and project estimating. Requires expertise in GIS, remote sensing, geospatial software, national elevation programs, and industry data standards.

Analyzes complex business processes and workflows, documents business, functional, and technical requirements, and serves as a liaison among Operations, Quality Assurance, and technical teams. Facilitates requirements sessions, testing, approvals, training, troubleshooting, and process improvement initiatives. Independently leads low- to moderate-complexity assignments while managing changing priorities and supporting end users and IT staff.

Leads enterprise data engineering, database operations, pipeline architecture, data governance, security, compliance, and AI data foundations. Manages data engineers and database administrators, oversees cloud-native platforms including Databricks, Kafka, PostgreSQL, MongoDB, and Druid, and chairs the Data Governance Council. Establishes data quality, lineage, access control, security, regulatory, and data contract practices while partnering with executive, legal, compliance, infrastructure, and product stakeholders.

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.