Top Data & Analytics Jobs in Tampa, FL

Performs foundational GIS and geospatial analysis using ArcGIS, creating and editing layers, aggregating open-source data, and working with vector and raster datasets. Ensures accurate spatial representation according to OGC standards, supports geospatial coding tasks, and collaborates with multidisciplinary analytic teams. Preferred experience includes remote sensing, SAR and electro-optical imagery, Python, SQL, HTML, and additional GIS tools.

Owns go-to-market funnel reporting and analytics from lead generation through pipeline, bookings, and ARR. The role analyzes conversion, pipeline quality, CAC, LTV, marketing ROI, and sales efficiency across segments and channels. It builds dashboards, forecasts, and executive insights while partnering with Marketing, Sales, Revenue Operations, and Finance on attribution, data integrity, budgeting, and investment decisions.

Leads enterprise sanctions-screening analytics strategy, developing KPI frameworks, governance standards, dashboards, root-cause analyses, and predictive insights. Identifies false-positive drivers, workflow bottlenecks, and automation opportunities while recommending tuning and process improvements. Partners with technology, operations, compliance, and governance stakeholders to build business cases, implement analytics-enabled automation, monitor performance, and deliver executive-ready reporting.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

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.

Lead the redesign and modernization of a legacy database system for a financial services client. Analyze existing architecture, design scalable data models and schemas, optimize tables and stored procedures, implement governance and security controls, and ensure performance, auditability, and regulatory compliance. Partner with stakeholders in an Agile environment, support iterative development, and mentor team members on database modeling best practices.

Leads a category insights team supporting client and retailer strategies. Analyzes shopper, consumer, market, pricing, promotion, assortment, and competitive data to create compelling selling stories and inform go-to-market decisions. Manages client engagements, business reviews, project schedules, and associate development while coaching analysts and collaborating with sales and external stakeholders.

Analyze AWS and Azure cloud spending, produce dashboards and reports, identify optimization opportunities, track remediation and savings, and support tagging, cost allocation, data quality, and stakeholder updates. The role partners with FinOps, Finance, engineering, and application teams while documenting processes and improving automation. It requires strong Excel skills, basic cloud knowledge, analytical ability, communication, and organized follow-through.

Leads Citi’s global data quality and reporting organization, managing distributed teams, budgets, governance programs, regulatory reporting, data risk controls, and enterprise KPI/KRI frameworks. The role partners with senior business, technology, risk, and regulatory stakeholders to establish data governance standards, cloud and big-data architectures, quality automation, observability, compliance remediation, and strategic data initiatives across global lines of business.

Process, classify, and analyze LiDAR point-cloud data for planimetric and 3D mapping deliverables. Convert ESRI data to CAD formats, prepare geospatial data for engineering modeling, perform QA/QC, and maintain project files and standards. Collaborate with project managers, engineers, and analysts while using ESRI, MicroStation, and related geospatial tools.