Top Data & Analytics Jobs in Jacksonville, FL

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.

The e-Data Services Analyst provides technical support for eDiscovery, manages data acquisition, processes electronic materials, and assists legal teams using various industry tools and protocols.

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.

Perform cross-product credit analytics to inform underwriting, limits, and portfolio strategy. Build customer credit profiles, run experiments (A/B tests), uncover insights, recommend and execute policy changes, and communicate results to leadership. Leverage internal and external data, predictive techniques, and AI tools to optimize approvals, risk, and product performance while balancing growth and loss.

Lead Consumer Lending decisioning analytics across credit card, HELOC, and personal lending. Translate business needs into analytical approaches, perform hands-on analysis and validation, oversee and mentor junior/offshore analysts, partner with stakeholders, and drive automation, model monitoring, and process improvements to scale analytics capabilities.

Support design and delivery of operational, analytical, and AI-ready data products across the full lifecycle: discovery, requirements, semantic modeling, data mapping, testing, deployment, governance, data quality, documentation, and adoption. Work with stakeholders, engineers, governance and AI teams to ensure reusable, trusted datasets and semantic layers; assist UAT, lineage, metadata, and change management, and use AI-assisted tools to accelerate analysis and product design.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

The Lead Product Analyst will design experiments, ensure data quality, build dashboards, and create an experimentation framework focusing on growth and product metrics.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Lead analytics strategy for client accounts: create measurement plans, testing roadmaps, and cross-channel analyses. Use BI tools and SQL to connect data, generate insights, and present clear, actionable recommendations to clients and internal teams.