Top Remote Analysis Reporting Jobs in Miami, FL

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

As a Data Architect, you will lead end-to-end data and ML platform engagements, manage delivery teams, design cloud architectures, and support presales activities.

The role involves consulting on data-driven healthcare solutions, collaborating with teams, designing demos, and developing business strategies targeted at C-level executives in healthcare.

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

The Lead Databricks Engineer will design a cloud-based lakehouse, manage data pipelines, optimize workloads, and mentor a data engineering team.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.