Top Data & Analytics Jobs in New York City, NY

The Senior Data Analyst is responsible for creating mathematical models to derive insights from complex business data, designing data pipelines for data management, and developing data products to aid decision-making and business growth. They also present findings to stakeholders and create reports detailing operational performance.

The Marketing Operations Analyst will execute marketing campaigns from submission to final approval, collaborating with various teams including Marketing Channel Analysts, Legal, and Compliance. They will ensure campaigns meet standards while aiming for quality and compliance, and will work independently to manage timelines and best practices.

The Senior Data Analyst, Programmatic is responsible for creating, maintaining, and optimizing programmatic ad campaigns using analytics and automation. Key responsibilities include building campaign-related analyses, implementing optimizations, and validating data. The role requires excellent critical thinking, project management skills, and the ability to work independently and collaboratively, often presenting results to clients.

The Associate Director, Analytics will lead the Analytics team, developing measurement tools and models to derive insights for clients. Responsibilities include managing analytics projects, aligning data efforts with business goals, guiding cross-organizational planning, and presenting actionable insights derived from performance reports.

The Senior Data Observability Engineer will develop and implement advanced observability frameworks, mentor teams, create performance metrics, investigate data incidents, and engage clients to customize observability strategies. This role emphasizes enhancing data health and performance standards for clients.

The Senior Data Architect will design and implement scalable data frameworks to support analytics and real-time data processing in the financial technology sector. Responsible for optimizing data infrastructure, overseeing data governance, and collaborating with engineering teams to support data needs.

As a Lead Data Engineer, you will build ELT pipelines, develop custom integrations, and maintain data infrastructure. You will also identify process improvements and promote collaboration across teams while ensuring data availability through on-call rotations.