Top Senior Level Data & Analytics Jobs in NYC, NY

As a Senior Software Engineer on the Predict team, you'll develop scalable, fault-tolerant systems for machine learning, optimize low latency applications, and collaborate with cross-functional teams to enhance risk management tools. You'll also participate in the on-call rotation and stay updated on industry developments.

Seeking a Sr. Director of Business Analytics to drive strategic decisions through data analysis and provide actionable insights to senior leadership. Responsible for developing and implementing data analytics best practices, leading a team of analysts, and providing financial planning support.

The Senior Analyst in Marketing Science & Analytics will analyze and optimize marketing investments, develop insights from performance metrics, and ensure accurate measurement of all marketing channels. Collaborating with various teams, the role requires establishing campaign goals and providing regular performance reports.

As a Senior Data Engineer, you will design and improve data infrastructure, build data pipelines for various stakeholders, and collaborate closely with Data Science and Analytics teams to produce valuable business insights and support core products.

The Associate Manager of Data Annotation at Qualtrics will lead a multi-lingual team to enhance data collection and annotation processes, supporting machine learning initiatives. Responsibilities include overseeing project scoping, managing the annotation workflow, ensuring process improvements, and collaborating with product managers and data scientists to deliver high-quality datasets.

As a Senior Data Engineer at Bombora, you will develop and optimize systems to process billions of interactions daily, identify intent signals, and lead engineering initiatives. Responsibilities include architecting ETL pipelines in Google Cloud Platform, developing microservices, and mentoring junior engineers while working within an Agile environment.

The Compensation Analyst will participate in compensation surveys, audit and enhance compensation databases, support data analysis for compensation models, and partner with recruiting and People Operations to guide fair compensation practices. The role also involves assisting in the development of compensation communications and administration of compensation cycles.