Top Data & Analytics Jobs in NYC, NY

The Staff Implementation Engineer will lead complex data integrations, develop big-data pipelines, and mentor engineers, ensuring high standards for data security and governance.

Lead and grow a team of data analysts to deliver recurring product analytics, partner with PMs and cross-functional teams, build AI-first analytical workflows, define metrics and standards, and present insights to senior leadership to drive product decisions.

Design and run experiments, analyze large datasets, build production-ready data pipelines and analytical frameworks, and translate findings into actionable recommendations for marketing and product stakeholders. Communicate insights to senior leaders and use approved AI tools responsibly to accelerate analytics and automation.

Design and build data infrastructure, pipelines, and transformations using Azure Data Factory, Azure Databricks, and Snowflake. Develop data architecture and modeling, maintain data lakes/warehouses, ensure data quality and security, optimize performance, and collaborate with clients to deliver tailored data solutions and governance.

Lead and scale a horizontal Business Analytics team supporting multiple operational functions. Define analytics strategy, build dashboards and KPIs, translate ambiguous questions into actionable insights, coach analysts to deliver recommendations, and adopt AI tools to improve team effectiveness. Communicate findings to senior leadership and partner with cross-functional stakeholders to influence strategy and execution.

Lead pricing strategy and optimization for advertiser portfolios, perform deep-dive analyses, develop forecasting and optimization models, design pricing experiments, drive automation and scalable tools, and partner cross-functionally to translate analytical findings into business recommendations and revenue-driving implementations.

Design, build, and maintain a centralized data warehouse and analytics platform. Create scalable data models, ETL/ELT pipelines, and semantic layers. Improve data quality, governance, lineage, and accessibility. Partner cross-functionally to define metrics, enable self-service analytics, and standardize data models across products and teams.

Lead and mentor a data engineering team building scalable customer-focused data solutions. Hands-on technical ownership, architecture guidance, and delivery of data ingestion, transformation, and reporting. Advance AI-enabled development practices, set technical standards, and foster a collaborative, accountable engineering culture to improve speed, quality, and reliability.

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

The Staff Analytics Engineer leads the design and implementation of data solutions, enhancing analytics capabilities across Zocdoc, collaborating with multiple teams to drive strategic insights.