Top Senior Analysis Reporting Jobs in Tampa, FL

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.

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.

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.

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.

Develops and maintains insurance pricing and predictive models, analyzes premiums, losses, claims, and exposure data, evaluates profitability and emerging risks, supports rate filings and actuarial analyses, and delivers recommendations to leadership. The role also ensures data integrity, prepares financial reporting, automates workflows, and collaborates with product, actuarial, and business teams to improve pricing strategies and operational efficiency.

Build instrumentation and batch/streaming ETL/ELT pipelines and REST API integrations to generate audience and trigger data for CRM/marketing automation. Ensure data quality, monitoring, and reliability at scale while collaborating with CRM, campaign, and operations teams.

The Business Analyst partners with stakeholders to gather needs, define requirements, analyze operational data, improve processes, assess risks, support system design and configuration, create testing documentation, assist with user acceptance testing and training, and contribute to project management. The role emphasizes operational efficiency, data-driven recommendations, compliance, system functionality, and continuous process improvement across Agency Operations.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

Design and build end-to-end data pipelines and integrations on Databricks, implement medallion architectures, develop streaming and NiFi pipelines, integrate purpose-built stores, operationalize ML/MLOps (training, deployment, monitoring), and explore LLM/RAG generative AI solutions while enforcing data governance, security, and performance for large-scale analytics.