Top Hybrid Data Analysis Jobs in New York City, NY

The Head of Data Science - Fraud Insights will lead research on fraud analytics, design predictive studies, manage a team, and communicate findings to influence strategy and policy.

The Data Analyst will explore and analyze data, identify anomalies, support decision-making with insights, and contribute to reporting and automation while learning in a fintech environment.

As a Senior Program Analyst, you'll analyze data to drive advertiser growth and retention, design programs, and collaborate with cross-functional teams to optimize revenue.

The Research Analyst will manage survey research projects, analyze data, ensure accuracy, and prepare reports while assisting clients in understanding market dynamics.

The Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

The Marketing Science Analyst will analyze consumer data, maintain statistical models, and collaborate with teams to derive insights for business decisions.

The Staff Data Scientist will drive growth in marketing by analyzing data, building models, and creating frameworks for marketing measurement, optimizing spending, and supporting decision-making across teams.

The Quantitative Researcher for Monetization will develop strategies for market opportunities, optimize performance using data, and apply machine learning in financial energy systems.

The Data Analyst for Product Strategy & AI will analyze complex product questions, oversee product usage analyses, and collaborate with teams in NYC and India to enhance analytics workflows and data interpretation.

As a Power Markets Analyst, you will develop methodologies for market-informed studies, manage market data infrastructure, configure production cost models, and connect transmission planning to market outcomes while collaborating with product and engineering teams.