Top Data & Analytics Jobs in Tampa, FL

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.

Designs and develops scalable big data platforms and data architectures using Azure or AWS. Translates business objectives into technical strategies, supports data warehousing, business intelligence, master and reference data management, and develops data services through REST APIs. Leads client initiatives, creates system diagrams, establishes architectural governance, analyzes business processes, advises on emerging technologies, and mentors data architects and engineers. The role involves extensive client travel averaging 30–50%.

Develops data collection methods, reporting tools, and operational analytics for Joint Network Operations Center missions. Analyzes ticket metrics, bandwidth utilization, and network performance; creates mission reports, process documentation, and scripted solutions. Presents technical findings and recommendations to government and military leadership, while managing data storage, retention, stakeholder requirements, and reporting processes.

Manage secure, scalable database environments across on-premises and cloud platforms. Design, configure, maintain, and troubleshoot SQL Server and other DBMS environments; implement high availability and disaster recovery; optimize performance; enforce security and compliance controls; resolve complex issues; and collaborate with technical teams and stakeholders. The role also requires strong communication, customer service, IT service management knowledge, and familiarity with DoD security standards and supporting technologies.

Develops and maintains secure data pipelines, ETL/ELT workflows, data transformations, and analytics-ready datasets. Processes structured and unstructured data using platforms such as Databricks, Spark, Palantir Foundry, and Maven Smart Systems. Collaborates with data scientists, engineers, and mission stakeholders while applying data validation, modeling, quality, testing, documentation, and Agile practices. The role requires onsite work in a SCIF and support for classified national security missions.

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.

Drive fraud strategy, policy, and analytics for money-movement fraud. Build and manage fraud rules, analyze moderately complex data sets using SQL/Python/SAS and BI tools, create predictive models and visualizations, consult stakeholders, and ensure fraud risk is identified and controlled across payment channels.

Leads the organization’s data strategy, analytics, and measurement capabilities. Advises enterprise clients on attribution, incrementality, marketing mix modeling, customer acquisition, and lifetime value. Develops measurement frameworks, dashboards, reporting products, and analytics tools while partnering with strategy, sales, client services, and AI teams. Builds internal data literacy, coaches talent, supports commercial growth, and represents the company as an external thought leader in partnership marketing measurement.

Analyze competitive pricing, supplier costs, market conditions, and margins to recommend price changes. Maintain product cross-reference and taxonomy databases, monitor competitor and minimum pricing, support contract and quote reviews, and identify sales opportunities from overstock and deadstock. Collaborate with product specialists, merchandising, sales, renovation, and national account teams on pricing strategies, gap analysis, flyer items, catalog pricing, and go-to-market recommendations.

Develops and maintains scalable data ingestion, transformation, modeling, and warehousing pipelines. Supports ETL/ELT workflows, data quality validation, governance, documentation, cloud platform deployment, and compute/storage optimization. Collaborates with analysts, data scientists, and product teams, participates in Agile ceremonies and code reviews, and helps improve engineering processes using SQL, Python, and cloud technologies.