Top Senior Data & Analytics Jobs in Jacksonville, FL

Independently validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses and reporting. Lead incident investigations, root cause analysis, test strategy, automated validation, regression and non-functional testing, data governance metrics, regulatory validation, and stakeholder collaboration to drive continuous improvement in data quality and controls.

Lead design, development, deployment and support of OBIEE/Hyperion BI solutions. Translate business needs into technical requirements, produce RPD designs, coordinate testing, manage vendor package integrations, coach junior staff, ensure PMO/SOX compliance, and provide post-implementation support and training.

Lead end-to-end analytics delivery: gather stakeholder requirements, design and maintain enterprise semantic models, build dashboards and data products, validate data quality, govern AI-augmented analytics, mentor junior engineers, and drive adoption and standards across the organization.

The Senior Analyst will lead data mapping and conversion initiatives, ensure data accuracy and integrity, troubleshoot discrepancies, and optimize data workflows in the Trust team.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Analyze large complex datasets to identify trends and anomalies, produce actionable insights and financial models, document processes, present findings to stakeholders, manage projects and client relationships, mentor junior staff, and support planning and delivery.

Design, build, and maintain scalable data models and pipelines using Python and SQL. Collaborate with product and SMEs to create analytics-ready healthcare datasets, maintain data engineering systems, document solutions, and iterate based on product feedback.

Lead and optimize risk adjustment data submissions (CMS, HCCs, HEDIS), develop and maintain reporting, validate data integrity, oversee vendors, support audits (RADV), mentor analysts, and recommend process improvements to maximize risk scores and quality payments.

Lead healthcare data analysis and quality efforts across claims, pharmacy, and enrollment data. Translate business needs into technical requirements, build complex queries, recommend process and data improvements, manage projects, and mentor team members while liaising between operations, R&D, and IT.

Lead growth analytics by partnering with product, marketing, sales, and finance to identify opportunities, design and analyze experiments, build dashboards, decompose north-star metrics, and surface actionable insights that drive company growth.