Top Data & Analytics Jobs in NYC, NY

Manage internal shipment request platform, maintain reporting, coordinate special shipment requests, optimize inventory quantities, facilitate shipments, identify operational gaps, support process changes.

The Marketing Automation Analyst at Peloton is responsible for leading the development of MarTech product/system requirements, educating business and technical teams on MarTech product recommendations, monitoring key metrics, and staying informed on trends in Marketing Automation and Technology.

Lead key projects to enhance visibility into all elements of the end-to-end Supply Chain. Synthesize data sources into actionable reports, deliver reports to senior leadership, and manage qualitative and quantitative research for key business initiatives. Must have 1-3 years of relevant experience and be comfortable with large datasets.

As a Data Scientist at Peloton, you will be responsible for optimizing operations using data and insights, performing deep dive analysis, collaborating with cross-functional partners, building data-driven models, and communicating recommendations clearly. You will work with a team to drive decision-making and achieve transformative impact through data.

Senior Data Scientist role focusing on product analytics at Peloton. Responsible for analytics, metrics definition, feature evaluation, and strategic recommendations. Collaborate with cross-functional teams to enhance user experience and inform product strategy. Must have strong technical skills, experience in data wrangling, A/B testing, and data storytelling. Bachelor's degree in a technical field required.

The Machine Learning Engineer at Peloton will be responsible for driving personalization and recommendations for members through the application of AI and ML techniques. They will work on optimizing member engagement and content discovery by collaborating with various teams. The role involves building ML pipelines, researching ML techniques, implementing models, running A/B tests, and deploying ML models.

Lead a team of analysts and analytic engineers within the Enterprise Data Team covering core business performance subject areas around sales and subscription metrics. Develop and execute a comprehensive data and analytics strategy aligned with company goals. Create and maintain self-service reporting and dashboard solutions for stakeholders.