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

This role focuses on post-sale technical execution, ensuring customer onboarding and deployment, driving customer consumption of products, writing production code, diagnosing issues, and expanding adoption across teams.

The Senior Financial Analyst will manage global forecasting and planning processes, enhance planning systems, conduct reporting for senior management, and streamline FP&A operations.

The Senior Data Engineer will design and maintain data pipelines, build reusable data sets, validate data integrity, and ensure user privacy and security. This role requires strong expertise in SQL and Python, and familiarity with AWS and various data technologies.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

The Marketing Data Analyst will analyze healthcare marketing data, linking tactics to patient behavior, and produce actionable insights for clients using advanced analytical techniques and tools.

The Manager of Solution Consulting leads pre-sales engagements for Veeva Data Cloud, focusing on data consulting and client relationship management, while contributing to product strategy and project management.

The Research Specialist will assist the research team at Applecart in delivering data and strategic tools to stakeholders through research tasks, data entry, and by identifying publicly available data sources.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

The Analyst II will analyze data to optimize fraud strategies, develop machine learning models, and collaborate with teams to enhance product safety.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.