Top Data & Analytics Jobs in Jacksonville, FL

Owns specialty pharmacy data-partner specification negotiations, data mapping, Ascend platform configuration, internal QA, defect resolution, and UAT readiness across multiple implementations. The role evaluates standard versus custom data requirements, coordinates with delivery, engagement, product, and engineering teams, maintains data dictionaries and implementation documentation, supports schema normalization, and develops repeatable testing and onboarding processes. It is primarily remote with occasional travel.

Designs, builds, tests, documents, and maintains large-scale data pipelines across platforms and sources. Performs ETL and ELT, develops data quality and governance processes, supports anomaly detection, and ensures database security and compliance. Collaborates with architects, analysts, and stakeholders to translate business needs into technical solutions. The role also mentors junior engineers, oversees projects, and works with cloud platforms, relational databases, SQL, Python, Spark, and large-scale processing engines.

Designs and maintains enterprise reports, dashboards, datasets, data models, and analytics solutions for DoD and DHA healthcare contact center operations. Translates contractual and operational requirements into standardized metrics and reporting specifications using Salesforce CRM Analytics, Salesforce Health Cloud, Amazon Connect, and related tools. Supports workforce management, quality assurance, patient engagement, data validation, automated refreshes, troubleshooting, compliance, and stakeholder reporting.

Design and deliver scalable enterprise data platforms supporting analytics and AI for private equity portfolio companies. Lead architecture, data modeling, governance, pipelines, testing, deployment, and monitoring across the full project lifecycle. Manage and mentor cross-functional technical teams, communicate recommendations to senior client stakeholders, and remain hands-on with SQL, Python, cloud data platforms, and transformations. Contribute to AI strategy, reusable architectures, business development, and firm-wide initiatives.

Administer, maintain, install, configure, upgrade, and troubleshoot IBM DB2 databases across AIX and UNIX environments. Develop SQL, DDL, DML, PL/SQL, shell, and deployment scripts; manage database objects; support production systems; and coordinate database changes with application, technical support, and operations teams to ensure availability, stability, and reliability.

Leads the strategy, architecture, implementation, governance, and commercialization of the enterprise data platform. Builds cloud data infrastructure, pipelines, models, DataOps practices, audience intelligence capabilities, and privacy-safe data products. Partners with executive and cross-functional teams to support analytics, personalization, AI, machine learning, reporting, and revenue opportunities. This hands-on technical leader also manages strategic vendors, drives enterprise data initiatives, and communicates technical strategy to non-technical stakeholders.

Leads strategy, roadmaps, quality standards, and modernization for College Board’s higher education data programs. Builds affordability measurement frameworks, dashboards, reports, market analyses, and opportunity scoring to guide institutional and student outreach. Analyzes international higher education data to expand SAT and AP recognition. Partners cross-functionally, manages external relationships, influences stakeholders, and translates complex datasets into strategic recommendations and actionable insights.

Owns go-to-market data governance, quality, enrichment, and automation across Salesforce and connected systems. Designs standards, controls, source-of-truth models, AI and LLM-powered workflows, monitoring, and remediation processes. Partners with Business Operations, Marketing Operations, Customer Success, Finance, IT, and security to improve data accuracy, compliance, reporting, and operational efficiency. Leads data management and automation projects from planning through measurable outcomes.

Leads the migration of legacy data warehouses and pipelines to an Azure and Databricks lakehouse. Defines technical architecture, reusable Azure Data Factory and Databricks pipelines, reconciliation methods, quality gates, and performance solutions. Mentors data engineers, reviews technical work, and collaborates with product, QA, platform, and customers in a remote Agile environment.

Analyzes marketing data to guide investment decisions, improve campaign performance, segment customers, support A/B testing, and identify conversion opportunities. Builds dashboards and reports, maintains metric definitions and data quality standards, investigates anomalies, and communicates actionable insights to sales, marketing, and global operations partners.