Top Remote Data & Analytics Jobs in Pensacola, FL

The GTM Data & Operations Analyst will develop SQL queries, support operations projects, create dashboards, and enhance data analytics capabilities.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

The AI engineer will develop and implement AI models, collaborate with teams, deploy applications, and ensure system performance and scalability.

Responsible for abstracting and coding patient information from medical records for various target registries. Requires 1 year of experience.

As a Junior Geospatial Data Analyst, you will support catastrophe risk modeling, handle geospatial datasets, and assist clients with data-related inquiries while ensuring data accuracy and integrity.

The Demand Planner manages sales forecasting and operational planning. Responsibilities include analyzing trends, partnering with cross-functional teams, and ensuring compliance with internal and external standards.

As a Senior Risk Operations Specialist, you will oversee underwriting and customer risk management initiatives, mentor team members, and enhance risk processes based on data insights.

As a Credit Risk Associate at Ramp, you will develop credit strategies using data and collaborate with cross-functional teams to optimize risk management.

As a Fraud Risk Associate, you'll develop and optimize fraud strategies using data, collaborate with teams, and innovate risk policies.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

The Analytics Engineer will enhance ad targeting and audience understanding through data exploration, metric tracking, and model support while collaborating with cross-functional teams.

The Senior Database Administrator oversees SQL Server databases, ensuring performance and compliance while mentoring devs and managing deployments.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.