Top Analysis Reporting Jobs in Tampa, FL

Lead architecture and delivery of end-to-end Master Data Management (MDM) solutions, manage client engagements and teams, align MDM implementations with business objectives, mentor staff, and maintain quality and governance across data operations and stewardship.

Analyze complex datasets, develop data models, dashboards, and visualizations, and conduct predictive and statistical analysis for client decision-making. Collaborate with clients to deliver tailored analytics solutions, maintain data integrity, communicate insights through reports and presentations, and support data-driven operational strategies using SAS, Power BI, Tableau, and SQL tools.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Supports data ingestion, transformation, validation, quality control, and workflow automation using Python-based tools. The role organizes structured and unstructured data, identifies processing issues, assists with APIs and databases, applies LLMs and AI tools, documents workflows, and supports analysts with data preparation and troubleshooting. It is a part-time, early-career position based in the Tampa area with an emphasis on accuracy, independent work, and collaboration.

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.

Leads analytics for enterprise AI platform adoption, establishing engagement baselines, behavioral metrics, activation funnels, retention cohorts, dashboards, and value-realization measures. Diagnoses adoption barriers, translates telemetry and qualitative feedback into recommendations, and partners with learning, community, communications, product, and experience teams. Sets KPI targets, measures sustained behavior and ROI, enables stakeholders to interpret insights, and informs targeted re-engagement campaigns and executive reporting.

Develops regulatory compliance analytics and reporting solutions using SQL, dashboards, governed metrics, semantic layers, and AI-enabled business intelligence. Builds and maintains Tableau or similar dashboards, automates reporting with Tableau and Alteryx, evaluates Machine Learning and GenAI opportunities, supports prompt development, and translates stakeholder needs into analytical products. Collaborates with Compliance, Risk, Technology, Finance, and senior governance leaders to improve regulatory engagement insights, adoption, and firm-wide decision-making.

Lead the design, development, optimization, and monitoring of scalable cloud data pipelines using AWS Glue, PySpark, and Amazon Redshift. Integrate diverse data sources, ensure data quality, deploy infrastructure with Terraform, and improve reliability, performance, and cost efficiency. Collaborate with data professionals and stakeholders, document architecture standards, ensure security compliance, mentor junior engineers, conduct code reviews, and evaluate AWS technologies. The role requires a bachelor’s degree, substantial cloud data engineering experience, and hybrid work in specified locations.

Supports enterprise data management initiatives by analyzing and profiling data, documenting business requirements and data elements, maintaining metadata, defining data quality rules, investigating issues, and supporting data models. Partners with business, operations, product, architecture, and technology stakeholders in agile squads. Manages project deliverables, metrics, reporting, presentations, data lineage, remediation efforts, and data governance activities while bridging business and IT needs.

Performs QA/QC, analysis, and review of lidar, imagery, elevation, vector, hydrography, and other geospatial data products. Creates derivative layers, reports, metadata, documentation, and process improvements; trains junior staff; leads quality meetings; coordinates analysts; supports client communications and project estimating. Requires expertise in GIS, remote sensing, geospatial software, national elevation programs, and industry data standards.

Analyzes complex business processes and workflows, documents business, functional, and technical requirements, and serves as a liaison among Operations, Quality Assurance, and technical teams. Facilitates requirements sessions, testing, approvals, training, troubleshooting, and process improvement initiatives. Independently leads low- to moderate-complexity assignments while managing changing priorities and supporting end users and IT staff.

Leads enterprise data engineering, database operations, pipeline architecture, data governance, security, compliance, and AI data foundations. Manages data engineers and database administrators, oversees cloud-native platforms including Databricks, Kafka, PostgreSQL, MongoDB, and Druid, and chairs the Data Governance Council. Establishes data quality, lineage, access control, security, regulatory, and data contract practices while partnering with executive, legal, compliance, infrastructure, and product stakeholders.