Top Data & Analytics Jobs in Miami, FL

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

Lead and architect end-to-end Master Data Management (MDM) solutions, manage client accounts and teams, ensure data quality and integration, mentor staff, align MDM implementations with business objectives, and maintain high delivery and governance standards.

Lead pricing programs by analyzing large transactional datasets, designing and measuring pricing tests, partnering with engineering and data science to build automation, and translating insights into scalable pricing processes that improve price perception, margins, and customer trust.

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.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

Lead and deliver large-scale customer analytics engagements in Communications, Media & Technology. Define analytics strategies, develop thought leadership, oversee CRM modeling, reporting, and predictive analytics to grow client practice and drive data-driven decisions.

Lead growth of the customer analytics practice in Communications, Media & Technology. Define strategy and thought leadership, communicate analytics value, and lead large-scale, complex client engagements. Deliver customer analytics, CRM modeling, reporting, and predictive analytics solutions while mentoring teams and driving client relationships.

Collects, cleans, and analyzes institutional data; produces reports, dashboards, and visualizations; supports accreditation and compliance; designs surveys and assessments; conducts longitudinal and cohort analyses; and provides evidence-based recommendations to university leadership.

Lead technical design and implementation of production-grade data platforms, ETL/ELT and streaming pipelines, containerized Python data applications, Snowflake and dbt modeling, observability, CI/CD, and AI/ML data integrations to enable scalable data products and business-aligned analytics.