Top Analysis Reporting Jobs in Jacksonville, FL

The Senior Data Analyst will analyze performance data, identify trends, and provide insights to improve organic search performance for clients, working closely with cross-functional teams.

The role involves developing forecast models for oncology products, collaborating with teams, and communicating assumptions for strategic decision-making across the organization.

The BI Data Analyst III will provide insights for business decisions at Credible, focusing on the Insurance team. Responsibilities include developing dashboards, conducting data analysis, and collaborating across teams.

Design, develop, and maintain Power BI semantic models, dashboards, paginated and SSRS reports. Build DAX, Power Query transformations, ETL processes (SSIS/Azure Data Factory), and semantic/tabular models. Engage stakeholders, perform testing/UAT, document solutions, tune performance, and support multiple client engagements in a consulting environment.

Develop, maintain, and improve predictive models and operational forecasts to support claims demand and capacity planning. Build Python workflows, prepare and validate data with SQL and Python, automate manual processes, create visualizations and BI solutions, and partner with stakeholders to translate business questions into analytical solutions while sharing knowledge with teammates.

Design, build, and automate scalable batch and streaming data pipelines, implement data models and ETL, automate deployments, support ML/experimentation, maintain server architecture, and partner with stakeholders to deliver analytics and data-driven tools.

Join a remote internship program focusing on technology and business solutions through data engineering, application development, and collaboration in a team-oriented environment.

Lead and manage institutional research activities: collect, analyze, validate, and report quantitative and qualitative data; support program/course reviews, accreditation, dashboards, and decision-making; supervise a team and manage ad-hoc and ongoing reporting and assessment projects.

The Data Governance & Metadata Scientist will manage metadata governance frameworks, automate metadata tagging, and ensure compliance with DoD policies for data integration and analytics.

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.