Top Data & Analytics Jobs in Miami, FL

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.

As a PhD intern, you will develop and test trading strategies, perform statistical analysis, and collaborate with senior researchers.

Conduct research and develop automated trading strategies using advanced statistical techniques and programming skills. Collaborate in a fast-paced team to innovate and implement quantitative models.

Conduct rigorous research using statistics and machine learning to extract patterns from datasets. Implement algorithms, back-test models, and document findings.

Process and format customer data in Excel for personalized mailings, perform quality checks, generate printable materials with proprietary software, manage data sheets, support mailing operations, and enforce data privacy for PII.

Maintain data integrity and quality through advanced testing and validation of ETL pipelines. Analyze complex data issues, build solutions, mentor junior staff, engage with clients, and support continuous improvement across data management, governance, and pipeline orchestration.

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 consultant will configure and optimize SAP Payroll, manage implementations, and support payroll processes, ensuring compliance and integration with other systems.

The Data Engineer designs and maintains data pipelines and database infrastructure, ensuring reliability, optimizing data models, and supporting analytics across the organization.

Seeking an Analytics Engineer to build a DBT analytics infrastructure, manage data pipelines, and support financial modeling in a dynamic fintech environment.

Support pricing strategy for onboard revenue products by building and maintaining pricing models, analyzing large datasets, conducting price-performance and elasticity analysis, building BI dashboards, benchmarking competitors, supporting price tests, and preparing insights and presentations for senior leadership.

Support analytics team by preparing and analysing client and market data for reinsurance pricing, developing pricing tools, building dashboards and automation, applying actuarial/data science techniques, documenting models, and assisting with ad hoc modelling and innovation initiatives.