Top Senior Analysis Reporting Jobs in Jacksonville, FL

Design, build, and maintain enterprise data warehouses and lakes; implement ETL pipelines; optimize data models and performance; produce analytics and predictive models; create dashboards and visualizations; monitor data quality; document and collaborate with stakeholders to drive data-driven business solutions.

Perform ad hoc and ongoing data analysis to drive product decisions for CMS: implement and audit web analytics tagging, integrate Qualtrics and other qualitative sources, build dashboards and ETL pipelines, monitor system performance via Datadog, analyze user behavior (including LLM product metrics), and synthesize mixed-methods insights to inform the team.

Execute underwriting and case-valuation analytics: write and optimize SQL, build dashboards, maintain valuation models, forecast case outcomes, monitor portfolio performance, and translate insights for operational and marketing stakeholders.

Lead administration and optimization of the Snowflake data warehouse. Design and enforce data management and security policies, tune performance and costs, lead migrations and ETL initiatives, manage Snowflake roles/SSO, mentor DBAs, and maintain architecture documentation while collaborating with data engineers and analysts.

Lead embedded BizOps analytics for a core business area (growth, product, AI, or partnerships). Define problems, build metrics, reports, experiments, and analyses, and drive data-informed recommendations end-to-end to influence leadership and deliver measurable business outcomes.

Own the end-to-end analytics function embedded in a core business area (growth, product, AI, partnerships). Define problems and metrics, build reports, run analyses and experiments, surface insights, make recommendations, and drive outcomes with cross-functional teams.

Designs, builds, and maintains scalable data warehouses, pipelines, and lakes using the Microsoft analytics stack. Transforms and models data, develops ETL/ELT, reporting, and dashboards, and partners with clients to gather requirements and deliver reliable analytics solutions. Works across the full delivery lifecycle and within Agile practices.

Design, build, and optimize Microsoft Fabric-based lakehouse solutions. Develop scalable ETL/ELT pipelines and Spark notebooks, implement medallion architectures, support CI/CD, governance, lineage, and client-facing collaboration for cloud analytics projects.

Senior Exasol data engineer to design, build, optimize, and validate SQL-based data pipelines for healthcare analytics. Responsibilities include complex query tuning, extracting/staging from SQL Server, chart validation, applying clinical terminologies, quality measure development, and maintaining disciplined version-controlled engineering practices.

Design, build, and maintain scalable ETL/ELT data pipelines and analytical platforms on AWS and Databricks. Migrate legacy workflows to cloud-native services, implement data lake and catalog solutions, enable AI/RAG/vector search, ensure FedRAMP/NIST compliance, optimize performance, and mentor junior engineers while collaborating in Agile teams.