Top Data & Analytics Jobs in Jacksonville, FL

Define and govern enterprise data architecture, BI reporting, data warehousing, analytics, and storage solutions. Partner with business, engineering, security, and compliance stakeholders to translate requirements into scalable technical designs. Develop Power BI and SSRS dashboards, SSIS packages, SSAS cubes, queries, automation scripts, and migration solutions. Support Azure infrastructure migration, Active Directory, Group Policy, application deployment, and client systems. Serve as a technical architecture authority while managing reporting improvements, troubleshooting, documentation, and modernization initiatives.

Leads data mapping and conversion initiatives for client onboarding, serving as a subject matter expert on schemas, financial balancing, and data transmission. Resolves data discrepancies, supports tax processing and implementation teams, develops scripts to optimize data loading, and ensures delivery against release timelines. The role requires strong SQL Server expertise, analytical and communication skills, project management capabilities, and financial trust accounting knowledge.

Designs and maintains the firm’s Azure and Databricks data lakehouse architecture. Translates business, reporting, and integration requirements into scalable data structures, pipelines, connectors, and technical solutions. Establishes data modeling, transformation, security, quality, governance, and lineage practices; integrates enterprise applications and databases; documents architecture and dependencies; supports BI, analytics, and AI initiatives; evaluates emerging technologies; and provides technical guidance to developers, platform leads, stakeholders, and source-system owners.

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.

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.

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.

This 12-week internship supports workforce optimization through operational data analysis, staffing models, forecasting, scenario planning, and Power BI dashboard development. The associate will create predictive staffing tools, document dashboards, analyze branch expansion strategies, and present insights to stakeholders and senior leaders. The role requires collaboration with the Workforce Optimization team and participation in day-to-day analytical and strategic activities.

The job description was not provided. Based on the title, this role likely focuses on business intelligence analysis and reporting.

Lead design and implementation of a scalable enterprise data warehouse: dimensional modeling, ETL/ELT pipelines, cloud data platforms, data governance, performance tuning, monitoring, and mentoring. Collaborate with stakeholders and engineering teams to enable analytics, ensure data quality and security, and support data science/ML workloads including feature engineering and NLP components.