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

The Business Intelligence Intern will analyze data, create dashboards, manage projects, and present insights to stakeholders, collaborating with various teams.

The Insights & Strategy Lead will drive revenue growth through data analysis, optimize performance, and shape vertical strategies while collaborating with teams to enhance customer relationships and insights processes.

The Insights Lead Analyst will lead the analytics strategy for clients, turning business objectives and performance data into actionable insights, while utilizing various business intelligence tools and methodologies.

The Associate Director, Solutions will lead a client-facing team at YipitData, responsible for delivering bespoke analysis and data products, managing client experiences, and leveraging AI for operational efficiency.

The Senior Data Engineer will build scalable data pipelines, ensure data quality, optimize ETL processes, and collaborate with stakeholders to enhance data infrastructure and analytics applications.

The CJA Business Analyst translates business analytics requirements into actionable tasks within Adobe Customer Journey Analytics, ensuring accurate reporting and effective migration from Adobe Analytics. Responsibilities include requirement gathering, validation, documentation, and collaboration with stakeholders.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

The Senior Data Engineer will design and maintain data infrastructures, support analytics, and collaborate with stakeholders to improve data quality and governance while utilizing DBT and AWS tools.

The eCommerce Ads & Performance Analyst manages and optimizes paid advertising campaigns across platforms, analyzes performance metrics, and provides data-driven recommendations for improvements.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.