Top Analysis Reporting Jobs in Tampa, FL

Own and evolve the Collibra meta-model, integrations, and workflows. Design configurations and security/lineage standards, automate workflows, coordinate changes with Pfizer Global Supply, perform risk/impact assessments, and support development/test/production environments to make trusted data discoverable and usable.

Support fraud prevention by analyzing complex data sets, building predictive analytics and anomaly detection, delivering actionable reporting for executive stakeholders, driving business requirements with Technology and Operations, and maintaining risk and control processes to improve fraud detection and mitigation.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

Lead and manage delivery of modern data ecosystems and managed data analytics programs. Oversee project planning, budgeting, quality, and client accounts. Mentor teams, drive data strategy, convert insights to business opportunities, and ensure standards and risk management across large transformations.

Lead governance and optimization of speech analytics and Qualtrics CX capabilities, integrate survey, speech, and operational data, deliver actionable customer insight narratives, analyze end-to-end journeys to identify friction and drive cross-functional initiatives to improve customer experience and reduce expense.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

Design, develop, and maintain Power BI dashboards and enterprise reporting. Build scalable data models and DAX/Power Query transformations, write and optimize SQL, support Power BI deployments, improve performance, and partner with stakeholders and offshore teams to deliver analytics and data modernization initiatives while following risk and control practices.

Design and govern enterprise-scale logical, physical, dimensional, and Snowflake data models supporting analytics, reporting, regulatory requirements, and data products. The role translates business requirements into data solutions, performs source-data profiling with SQL, maintains mappings, lineage, metadata, and governance artifacts, and leads architecture reviews. It also partners with business and technology stakeholders to establish modeling standards, manage schema evolution, and support cloud data modernization initiatives.

Support enterprise data management initiatives by managing projects, eliciting requirements, profiling and analyzing data with SQL, documenting business data elements, maintaining metadata, supporting data modeling and quality, and producing reports and presentations for stakeholders within agile teams.

Serve as liaison between Risk Management and IT to design data architecture, perform data modeling, QA/UAT, translate business needs into technical requirements, and deliver analytics and process automation recommendations to improve risk information systems.

Analyzes and interprets HR workforce data to identify trends, improve data quality, and support strategic decisions. Develops data collection systems, maintains databases, cleans and validates datasets, runs SQL queries, creates reports, and presents findings. Partners with stakeholders on data discrepancies, process improvements, project schedules, and documentation while supporting the full data lifecycle from acquisition through visualization.

Lead the requirements and data-mapping work for an AWS-based data platform: elicit/document business and data requirements, build source-to-target mappings and data dictionaries, define testable data quality rules, support dimensional modeling and UAT, coordinate across engineering/risk/platform teams, manage BA backlog in ADO/Confluence, and leverage AI assistants to accelerate analysis and test-case generation.

Manage, cleanse, validate, and analyze catastrophe exposure data across insurance and reinsurance lines of business. Apply policy conditions, model natural catastrophe perils using catastrophe modeling software, assess model outputs, and incorporate reinsurance structures into exposure management. Collaborate with colleagues to support comprehensive catastrophe risk assessment. The role requires property catastrophe modeling experience, insurance knowledge, strong analytical skills, and proficiency with SQL Server, Excel, and automation tools.

Define, create and maintain HR data structures; identify and acquire data sources; publish and monitor data for usage and quality; implement data quality audits and controls; resolve data integrity issues; develop data collection systems; maintain databases and present analytical findings to stakeholders.