Top Analysis Reporting Jobs in Tampa, FL

Analyze complex data, perform data mining and predictive analytics, and develop fraud detection insights and controls. The role supports fraud prevention strategy, reporting, root cause analysis, process improvement, governance, and business requirements. It collaborates with Technology and Operations teams, uses SQL and BI tools, and leverages automation, machine learning, and large language models to improve fraud risk decisions and executive-level discussions.

Leads requirements analysis and solution design for enterprise data warehousing, integration, and business intelligence initiatives. Develops technical specifications, user stories, acceptance criteria, and data mappings; investigates complex data issues using SQL; evaluates solution alternatives; facilitates cross-functional discovery; and supports delivery, validation, governance, and stakeholder alignment. The role also applies AI-assisted tools to improve analysis and delivery practices.

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.

Lead enterprise data engineering initiatives by designing scalable ETL and data integration solutions, building real-time and batch pipelines, optimizing databases and SQL performance, and maintaining reliable production platforms. The role partners with engineering, architecture, and business teams, drives observability and operational excellence, troubleshoots critical systems, and may participate in on-call rotations. Hybrid work requires at least three office days weekly, with travel under 25%.

Designs, develops, deploys, and supports enterprise business intelligence solutions using Power BI, semantic models, dashboards, reports, and advanced analytics. Partners with stakeholders and data engineering teams to translate business questions into actionable insights. Responsibilities include performance optimization, report certification, modernization, testing, documentation, production support, and agile delivery. The Analyst IV level additionally leads complex initiatives, establishes BI standards, reviews technical designs, and mentors analysts and developers.

Provides quantitative and qualitative analysis to inform business-unit strategy, evaluate market and industry trends, develop analytical frameworks, assess P&L performance and risks, and translate complex data into actionable recommendations for senior leaders. Collaborates with stakeholders on strategic hypotheses, business questions, outcome measures, prioritization, and decision-making. May guide team members and support risk and compliance activities.

Prepare, edit, format, and quality-review client-facing documents, reports, proposals, and presentations. Clean, validate, organize, and analyze data in Excel using formulas, tables, pivot tables, and supporting schedules. Manage competing production requests, coordinate with team members, document processes, and identify workflow and template improvements while ensuring accuracy, consistency, and professional presentation.

Leads enterprise data modeling strategy and architecture governance across conceptual, logical, and physical models. Establishes standards, canonical models, metadata integration, semantic architecture, and governance processes across Snowflake, AWS, operational, and analytical environments. Partners with engineering, architecture, governance, and business teams to improve data interoperability, quality, reuse, and compliance. Builds modeling capabilities, develops senior talent, influences executives, and defines multi-year data architecture roadmaps.

Manage and validate music metadata across catalogs and platforms, including artist, track, genre, contributor, and release information. Review incoming data, identify and resolve discrepancies, duplicates, and conflicts, and maintain metadata integrity. Collaborate with content operations, engineering, and product teams to improve workflows and systems. Research industry and artist information while supporting account setups, data ingestion, cleansing, validation, and special projects.

Analyzes complex healthcare datasets involving claims, utilization, costs, pharmacy, and performance. Develops reports, dashboards, data processes, forecasts, and analytical models using SQL, Excel, and reporting tools. Ensures data quality, supports regulatory reporting, identifies process improvements, manages analytical projects, and presents actionable recommendations to stakeholders and leadership. Provides training and collaborates cross-functionally to translate business needs into scalable reporting and data solutions.