Top Hybrid Senior Level Data & Analytics Jobs in CO

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

Lead the design and delivery of scalable data solutions, focusing on data architecture and digital transformations while mentoring engineers.

The Senior Decision Scientist will lead projects involving causal inference, machine learning, and data analysis to provide insights for internal and external stakeholders.

Responsible for designing, developing, testing, and optimizing data integration solutions, focusing on financial month-end closure and ongoing production support.

The Data Expert will manage information systems, conduct data analysis, advise counterparts on data integrity, and resolve integration issues while ensuring adherence to quality standards.

The Data Engineer Sr leads the development and implementation of data solutions across multiple applications, ensuring accuracy, scalability, and security, while consulting on data migration and preparation processes.

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 and develop teams for hands-on labs, improving learning strategies and operational efficiency while collaborating across departments. Shape the future of technical learning and manage production operating models.

The Senior Business Analyst will lead end-to-end process discovery and define workflows utilizing AI and automation to improve operational efficiency.

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.