DAS42 provides cloud-based data analytics consulting and professional services. We help Fortune 500 companies access and understand all of their data.

Information Technology

DAS42

DAS42's headquarters in New York, NY, United States

This department focuses on analyzing and interpreting data to provide insights that support decision-making.

Data Analytics

This department focuses on analyzing data to provide insights and drive decision-making across the organization.

Analytics Department

The Consulting Team at DAS42 focuses on delivering expert cloud-based data analytics solutions. They partner with Fortune 500 companies to streamline data access, enhance data understanding, and drive actionable insights, ensuring clients maximize the value of their data assets.

Consulting Team

The Leadership Team at DAS42 is responsible for setting the strategic direction of the company, ensuring alignment of operational initiatives with business goals, and driving growth through innovative data analytics solutions. Comprising key executives such as the CEO and Chief Delivery Officers, the team fosters collaboration and oversees the execution of high-impact projects to enhance client satisfaction and deliver exceptional value in cloud-based analytics consulting.

Leadership Team

This department oversees financial strategy and governance at the executive level.

Finance Leadership

This department focuses on the design, construction, and maintenance of data processing systems and infrastructure.

Data Engineering

The Human Resources and People Operations team at DAS42 is responsible for managing employee relations, recruitment, and onboarding processes. They focus on fostering a positive work environment, overseeing benefits administration, and ensuring compliance with labor laws. This team plays a crucial role in supporting the company's overall mission by developing and maintaining efficient workplace policies and practices.

People (2)

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Other teams

Analytics Department

Consulting Team

Leadership Team

Finance Leadership

Data Engineering

Human Resources and People Operations