Top Remote Data & Analytics Jobs in Denver & Boulder, CO

The Geospatial Analyst will perform GEOINT analysis and reporting, leveraging extensive geospatial knowledge, data integration, and advanced analytical tools.

The Senior Geospatial Analyst will perform GEOINT analysis, manage geospatial data systems, and create multimedia presentations while collaborating with industry professionals.

The Targeting Analyst will conduct GEOINT analysis and reporting, requiring expertise in remote sensing and intelligence analysis, while supporting targeting operations.

The Senior Data Center Administrator is responsible for data center operations including inventory management, logistics, vendor coordination, and capacity planning. The role requires technical expertise and strong communication skills to ensure efficient data center environments across multiple locations.

The Analyst II will provide data-driven insights and support to the sales team, define performance metrics, leverage AI tools, and ensure effective communication of strategies across teams.

Lead Toast's credit risk strategy, overseeing portfolio management, product growth, and analytics while ensuring compliance with regulations and mentoring analysts.

As a Business Analyst, you will analyze business goals, create process improvements, support cross-functional initiatives, and utilize AI to enhance efficiencies.

The role involves analyzing insurance classification frameworks, creating mapping documentation, and communicating classification rationale while working with stakeholders.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.