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

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

The Data Migration Engineer migrates customer data into SaaS products, ensuring data quality and business continuity while collaborating with teams and managing customer requirements.

As a Digital Innovation Co-Op, you'll work on projects involving AI and machine learning to enhance supply chain operations, collaborating with engineers and data scientists to automate workflows and analyze data.

The Data Engineer will build and maintain data pipelines, optimize workflows, manage infrastructure, and enhance pipeline observability while collaborating with teams for effective data delivery.

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

Lead strategic vision and execution of GitLab's data platform and analytics capabilities, focusing on AI-enabled self-service analytics and data governance.

Design, configure, and optimize analytics databases, pipelines, models, reports and Power BI/SSMS dashboards for public safety customers. Train agencies, create instructional materials and eLearning, lead multi-agency implementations, mentor junior staff, and act as technical SME and escalation point. Leverage AI tools to accelerate SQL and dashboard development and collaborate with product and stakeholders to maintain solutions.

Seeking a Senior Data Engineer for developing trade lifecycle data solutions, building cloud-native pipelines, and onboarding complex financial data sources.