Top Analysis Reporting Jobs in Tampa, FL

Designs and maintains data solutions, dashboards, reports, and automation that support business decision-making. Analyzes complex datasets, ensures data quality, develops data models, identifies trends, and provides actionable insights. Collaborates with stakeholders to define requirements, documents reporting processes, validates analytical solutions, and improves data governance and operational efficiency using tools such as SQL, Python, R, Excel, Power BI, and Domo.

Analyzes business processes and system integrations across ERP, TMS, WMS, CRM, and finance platforms. Documents integration requirements, data mappings, APIs, EDI transactions, workflows, and system specifications. Partners with technical teams, vendors, carriers, and customers to onboard, test, troubleshoot, and resolve integration issues. Supports UAT, regression testing, data reconciliation, change management, governance, and solution delivery.

Leads business intelligence and analytics for Verizon’s Business Markets Group. Designs measurement programs, develops advanced geospatial and financial models, evaluates sales and operational approaches, standardizes metrics, and converts complex data into strategic insights. Partners with business, technology, marketing sciences, and operational analytics teams while leading cross-functional data initiatives.

Designs, develops, and supports enterprise analytics solutions using Power BI, Microsoft Fabric, SQL, semantic models, dashboards, reports, dataflows, and automation. Partners with operational, clinical, financial, and technology stakeholders to translate business needs into trusted insights. Advances governed self-service analytics, data quality, security, documentation, AI-enabled analytics, visualization, and reporting automation while supporting continuous improvement and an on-call rotation.

Build, deploy, and support scalable data pipelines and curated data products on Azure Databricks. Integrate enterprise data sources using batch and streaming patterns, transform data with SQL and Python/PySpark, and implement Delta Lake, dimensional modeling, governance, monitoring, testing, and CI/CD. Collaborate with technical and business stakeholders to deliver reliable, documented data products for analytics, reporting, and AI use cases while improving platform performance, security, quality, and cost efficiency.

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 version-control practices. The role is onsite in a SCIF at MacDill AFB and requires an active Secret clearance, with potential for higher-level clearances.

Supports institutional reporting, survey administration and analysis, academic program review, accreditation documentation, dashboards, data visualizations, external data requests, and ad hoc research. Maintains reporting documentation, institutional websites, and data accuracy while providing administrative support, coordinating logistics, and using university technology platforms.

Maintains accurate child welfare data in FSFN by entering, validating, consolidating, and correcting records. Processes placement and interstate inquiry documentation, supports reporting and quality management, responds to information requests, provides technical assistance and training, and helps improve data integrity and workflow efficiency. The role is onsite, requires confidentiality, collaboration with case management and providers, and may involve travel within and outside Hillsborough County.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Maintain and optimize AWS-based production data pipelines, build dbt transformation models, monitor system health and data accuracy, troubleshoot issues, and support security remediation. The role requires Python, SQL, cloud data warehouse, AWS, Git, CI/CD, and production data engineering experience. The engineer will collaborate with senior and broader engineering teams, document operational procedures, improve infrastructure, and use AI-assisted development tools.