Top Analysis Reporting Jobs in Jacksonville, FL

Leads digital and social analytics for PGA TOUR-owned platforms, including KPI measurement, dashboard development, reporting, data governance, validation, and audience insights. Integrates data from digital, social, media, and third-party sources to identify performance trends and opportunities. Delivers actionable analyses and executive reporting, supports automation and data quality initiatives, establishes measurement standards, and partners cross-functionally to improve fan engagement, content strategy, and business decisions.

Leads fraud analytics and fraud-vendor solution implementation across the enterprise. Identifies emerging fraud patterns, develops detection models, metrics, rules, scenarios, and controls, and applies statistical and data-mining techniques to mitigate risk. Partners with Fraud, Product, Technology, and business leaders, supports strategic initiatives, presents actionable insights, manages implementation, and serves as a subject matter expert in fraud data, modeling, governance, and criminal risk mitigation.

Leads enterprise data architecture strategy and governance for Citi’s fraud domain. Responsibilities include developing data models, flows, standards, and remediation frameworks; architecting scalable data solutions; supporting analytics and AI use cases; partnering with senior stakeholders; and managing data architecture analysts. The role requires extensive financial services experience, fraud-domain expertise, enterprise data architecture capabilities, executive communication, and cross-functional leadership.

Own data quality and operational reliability across Snowflake data pipelines. Responsibilities include monitoring jobs, managing incidents, maintaining runbooks, administering Monte Carlo, creating data quality checks and dashboards, validating bordereau and financial data, supporting UAT and integrations, analyzing trends, and partnering with engineering and business stakeholders to resolve data issues and improve processes.

Provides strategic leadership for institutional research and effectiveness, overseeing compliance reporting, data governance, institutional studies, surveys, benchmarking, dashboards, data integrity, and evidence-based planning. Leads reporting to state, federal, accrediting, and external agencies; supports performance funding initiatives; partners with business intelligence teams; and supervises directors, analysts, programmers, and other staff.

Leads business intelligence strategy, reporting tools, dashboards, data governance, and the master reporting model. Manages analytics professionals, ensures data quality and warehouse alignment, partners with executives and cross-functional teams, and translates performance data into actionable recommendations. Oversees BI adoption, training, change management, documentation, compliance, and project prioritization.

Administers the enterprise data warehouse and related analytics platforms, including user provisioning, access controls, system configuration, monitoring, troubleshooting, maintenance, data pipelines, and ETL/ELT operations. Supports audits, governance, compliance, documentation, and platform reliability while collaborating with data engineers, analysts, governance teams, and business stakeholders. Requires two years of relevant experience and a bachelor's degree or equivalent background.

Designs, develops, maintains, and enhances business intelligence solutions using multiple data sources. Builds Power BI dashboards, visualizations, reports, and scorecards with DAX; optimizes reporting performance; gathers requirements; resolves technical issues; documents BI standards; estimates and schedules project work; and communicates progress to management. The role also supports department initiatives and ad hoc reporting requests.

Leads fraud analytics for financial services clients by analyzing large payment and card datasets, identifying fraud trends and emerging risks, developing fraud strategies, and optimizing decision systems. Partners with fraud, risk, operations, and technology teams to monitor models, evaluate performance, create dashboards, and deliver actionable recommendations that reduce losses and improve customer experience.

Performs independent quality assurance and validation across enterprise data platforms, warehouses, integrations, reporting solutions, and business processes. Responsibilities include data quality analysis, test strategy and automation, regression and release validation, incident investigation, root cause analysis, requirements traceability, governance, regulatory validation, and monitoring data quality metrics. The role partners with engineering, business, compliance, and operational teams while improving enterprise data integrity, reliability, and governance.