Top Edtech Data & Analytics Jobs in New York City, NY

The Director of Data & Analytics Engineering will lead and build data platform teams, manage architecture and strategy for data systems, and integrate AI in workflows, ensuring reliable, agile data solutions meet business needs.

The Curriculum Manager will oversee content development for cloud education, collaborating with experts to create engaging and technically accurate material while leveraging AI tools to enhance production and assess course performance.

As a Curriculum Manager, you'll create and manage cloud education content, collaborating with experts, utilizing AI tools, and addressing curriculum gaps.

The Technical Consultant will manage SFTP-based data integrations between EdSights and partner institutions, ensuring accurate data processing and collaborating across teams to optimize workflows and documentation.

The Director of Analytics & GTM Systems leads analytics and systems functions, driving data-informed decisions and overseeing teams. They enhance operational efficiency, implement AI solutions, and align strategies with stakeholders, creating impactful business capabilities and fostering decentralized decision-making.

The Senior Fraud Strategy Analyst will design and optimize fraud strategies, monitor performance, develop metrics, and collaborate with teams to enhance fraud detection.

The Data Pipeline Engineer will monitor and maintain data pipelines, troubleshoot issues, communicate with data providers, and optimize data flow and collection. They will also collaborate with data scientists and document pipeline architectures.

As a Senior Data Engineer, you will design and maintain data warehouses, ensuring data quality, manage data transformations, and mentor others while partnering with various stakeholders.

As a Senior Data Analyst, you will leverage data and visual analytics to design dashboards, collaborate with teams, and ensure data integrity while working on public-sector projects.

The Instructional Designer I creates high-quality online courses, interacts with various teams, and requires strong communication and project management skills.

The Senior Data Engineer will design and build data models, manage data pipelines, improve data quality, and collaborate with teams to deliver reliable data solutions for the company.