Top Senior Data & Analytics Jobs in Jacksonville, FL

The Senior Analyst will support product engineering efforts by analyzing digital solutions, enhancing user experiences, and collaborating across teams to deliver insights and improvements.

The Senior Analytics Specialist develops processes for digital optimization and collaborates on A/B and multivariate testing through data insights.

Design, build, and maintain data lakes, data warehouses, and end-to-end data pipelines for a multi-tenant SaaS platform. Lead code and design reviews, write infrastructure-as-code, optimize performance and scalability, participate in data governance, mentor junior engineers, evaluate new technologies, automate tests, collaborate cross-functionally, and join on-call rotation to ensure reliable data delivery.

Lead forecasting, capacity planning, and workforce insights for customer experience operations. Build and backtest forecasting models, maintain dashboards (Tableau, Databricks, Five9, Verint, Excel), manage vendor forecasts, perform scenario modeling, and deliver executive recommendations to align staffing with service and cost goals.

Lead analytics for law firm operations by writing advanced SQL and Python/R scripts, building executive dashboards, standardizing KPIs, analyzing case lifecycle metrics, identifying bottlenecks, and delivering actionable recommendations to drive capacity planning and process improvements.

Design, build, and maintain an internal data platform enabling secure, governed access for engineering and analytics. Partner with architects, implement data pipelines and automations, enforce security and compliance, support platform services, recommend architecture improvements, mentor teams, and drive adoption of scalable, self-service data capabilities.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, integration, and BI solutions. Oversee delivery, establish standards, mentor teams, support presales, and drive measurable business outcomes across technologies like Oracle, Snowflake, Databricks, and Microsoft Fabric.

Lead end-to-end digital analytics across websites, products, and campaigns: implement and govern event and conversion tracking, ensure data integrity, build dashboards, connect campaign and CRM data to full-funnel outcomes, generate actionable insights, and support AI-enabled reporting and experimentation to improve conversion and user experience.

Work with large-scale datasets to deliver advanced analytics, predictive models, and executive dashboards. Perform statistical analyses, prepare data pipelines, build reproducible workflows, and translate findings into strategic recommendations for clients and leadership. Collaborate across engineering, product, and strategy to improve analytics products and ATLAS platform capabilities.

The Data SME will provide strategic guidance on data management and analytics, ensuring data quality and governance while collaborating with global teams to improve data solutions.