Top Entry Level Analysis Reporting Jobs in Jacksonville, FL

Leads executive-facing analytics for Home Lending Product Strategy, framing hypotheses, measuring impact, evaluating tradeoffs, and delivering recommendations and business cases. Coordinates analysts across matrixed teams, partners with Strategy, Product, Marketing, Finance, Originations, and Technology, conducts market and competitor research, and translates complex analysis into concise insights for senior decision-makers.

Designs, develops, optimizes, and supports enterprise ETL pipelines using SSIS and SQL Server. Responsibilities include T-SQL development, query performance tuning, data validation, security, error handling, monitoring, troubleshooting, root-cause analysis, and production support. The role also applies Medallion Architecture, Git-based development, automated testing, database CI/CD, and AI-assisted development practices while collaborating with business and technical stakeholders.

Develop and maintain quantitative models for volume forecasting, capacity planning, workforce scheduling, scenario analysis, vendor modeling, and operational reporting. The role monitors model performance, ensures Model Risk Management compliance, standardizes model usage, and presents findings to executive leadership. It requires advanced analytical, simulation, optimization, database querying, and quantitative problem-solving skills, with preferred experience in banking analytics and statistical modeling.

Deliver strategic, data-driven insights supporting sales objectives for Walmart and Sam’s Club. Build client relationships, create sales presentations, analyze syndicated and internal data, manage reporting across clients and categories, standardize best practices, and mentor one analyst. The role requires advanced business application proficiency, strong communication, project management, and the ability to translate consumer and market trends into actionable recommendations.

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

Administer Oracle, SQL Server, and MySQL databases in a fully remote federal environment. Responsibilities include installation, configuration, monitoring, performance tuning, patching, security, backup and recovery, vulnerability remediation, incident response, documentation, compliance, and application deployment support. The role requires collaboration with development and hosting teams, occasional travel, and after-hours or on-call availability. A Public Trust clearance must be obtainable.

Builds and maintains data pipelines and datasets supporting analytics, AI, and modeling. Responsibilities include ingesting healthcare claims and lab data into Snowflake and AWS Iceberg, processing structured and unstructured sources, curating data for AI use cases, implementing medallion architectures, evaluating data quality, and contributing to pilot initiatives using SQL, Python, AWS Glue, Terraform, and Snowflake.

Analyzes branch, regional, and national performance data to identify trends, root causes, and opportunities that improve sales effectiveness, conversion, product penetration, and productivity. Develops dashboards, executive reporting, KPIs, and data stories; evaluates initiatives and campaigns; ensures data integrity; and partners with sales, product, field execution, and analytics teams to deliver actionable recommendations and support business decisions.

Manage Epic Cogito reporting projects for healthcare organizations by gathering requirements, designing and developing reports, performing testing and validation, and providing post-implementation support. Collaborate with internal and external stakeholders, solve complex problems, and manage multiple projects independently while delivering healthcare IT and analytics solutions.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.