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

Lead marketing analytics to measure and optimize full-funnel performance. Build dashboards, analyze paid media and web funnels, assess lead quality and conversion, advise on budget allocation, support executive reporting, and improve analytics infrastructure across Marketing, Finance, and RevOps.

The Senior Customer and Industry Insights Analyst will analyze data trends, generate insights, publish reports, and collaborate with various departments to inform decision-making and strategy.

The Senior Business Analyst will guide product teams, ensuring clarity in business needs and priorities, while focusing on user experience and product value.

The Senior Director of Data Platform leads LINQ's Business Systems and Data Engineering functions, overseeing strategy, team development, and ensuring data governance while delivering scalable solutions aligned with business needs.

The Senior Data Analyst will deliver corporate dashboards and insights, focusing on revenue metrics while partnering with executives and ensuring data quality through effective query writing and dashboard management.

The Principal Data Architect will design and implement complex cloud-based data solutions, oversee data standards, and guide technical teams while maintaining client roadmaps.

Lead GTM productivity analytics: build and maintain predictive capacity models and dashboards, analyze GTM performance and attainment, support planning and forecasting, align metrics across Ops/Finance, and partner on data infrastructure improvements to drive GTM efficiency and growth.

As a Senior Data Engineer, you will own GCP-based analytics infrastructure, design scalable data pipelines, and collaborate with engineering teams on data solutions.

As a Sr. Staff Deployment Strategist, you will drive business transformation by partnering with clients to design and implement AI-powered data intelligence solutions, ensuring value realization and client integration.

The Manager leads business intelligence and data operations, establishes KPI governance, oversees executive reporting, and ensures data-driven decision-making across teams.