Top Senior Data & Analytics Jobs in Miami, FL

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

As a Senior+ Agentic Analytics Engineer, you will design and deploy AI systems that provide actionable insights, build analytics tools, and manage the analytics-to-action pipeline to drive business decision-making using AI.

Lead enterprise marketing measurement strategy, govern data collection and BI tooling, ensure HIPAA-compliant analytics, build dashboards and attribution models, enable analytics literacy, manage vendors, and deliver decision-ready insights to senior leadership across university units.

Design and implement continuous enterprise risk-control monitoring across credit, fraud, operational, and compliance domains. Develop AI agents, anomaly detection, root-cause analysis, predictive models, and risk-mitigation tools. Maintain AI and model-risk inventories, build dashboards tracking key risk indicators, and communicate analytical insights to senior stakeholders. Collaborate with Engineering, Data, Compliance, Operations, Identity, and Product teams to instrument risk telemetry and maintain human oversight of automated outputs.

Implement metadata governance frameworks for structured and unstructured data in cloud environments. Track data lineage and synchronize metadata across data catalogs, ESRI Kubernetes, and enterprise repositories. Use OpenLineage, Apache Atlas, and related tools to manage metadata and lineage. Enforce DoD metadata policies and NSG standards for geospatial datasets while advising clients and guiding data science teams.

Leads a business analytics team supporting revenue-management pricing decisions. Translates ambiguous business questions into hypotheses and analytical solutions, analyzes large structured and unstructured datasets, oversees A/B testing, and delivers recommendations on revenue, occupancy, yield, and pricing strategy. Manages senior analysts, prioritizes projects, coaches team members, and communicates findings to senior executives and revenue-management stakeholders.

Leads a business analytics team supporting cruise revenue management and pricing decisions. Translates ambiguous business questions into analytical objectives, hypotheses, and actionable recommendations using large structured and unstructured datasets. Oversees A/B testing and causal analysis to optimize revenue, occupancy, and yield. Partners with senior revenue-management stakeholders, presents findings to executives, prioritizes projects, coaches analysts, and manages team performance and development.

Leads a business analytics team supporting revenue management and pricing decisions. Translates ambiguous commercial questions into analytical objectives, hypotheses, and actionable recommendations using large structured and unstructured datasets. Oversees A/B testing and causal analysis, evaluates revenue strategies, and presents findings to senior executives. Manages priorities, coaching, performance, stakeholder relationships, and multiple high-priority analytical projects affecting revenue, occupancy, and yield.

Lead design and delivery of scalable, secure cloud data pipelines and products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0/dimensional), embed data quality, observability, security, and DataOps/CI-CD practices, optimize performance and cost, mentor engineers, and enable AI/ML-ready datasets within an agile DevSecOps model.