Top Data & Analytics Jobs in New York City, NY

Assist in credit research, development of analytical tools, preparation of credit memos, diligence meetings with fund management teams, and research for internal and publication purposes in a dynamic environment at Kroll Bond Rating Agency, LLC in New York.

The Senior Associate will analyze campaign and customer data, providing actionable insights to improve marketing communications. Responsibilities include daily analytics for clients, quality assurance of reports, and development of analytics tools and frameworks. The position requires effective communication and the ability to correlate media performance with audience data.

As an Analyst in Business Operations & Strategy at Tubi, you will analyze data to support ROI-driven decision making, manage business reviews, create executive presentations, and work with cross-functional teams to operationalize recommendations. This role requires strong analytical skills and attention to detail.

The JDE Functional/Technical Analyst will provide advanced technical support for JD Edwards applications, design and implement orchestrations to enhance business processes, integrate JDE with other systems, and lead project deliverables while collaborating with team members and providing training.

The Senior Analyst will oversee the pricing and fair value of public assets, ensuring accurate valuations and compliance with controls. Responsibilities include liaising with vendors on data, participating in Valuation Committee meetings, responding to audit inquiries, and analyzing financial indicators for fair value assessments.

As a Revenue Compensation Analyst, you will manage sales compensation plans, calculate commissions and bonuses, and maintain documentation. You will assist in developing communication policies and be the expert on plan calculations while responding to inquiries about compensation mechanics.

The Lead ML Engineer will manage the deployment, monitoring, and management of machine learning models and data pipelines. Responsibilities include architecting end-to-end ML services, collaborating with cross-functional teams, and fine-tuning generative AI models for performance optimization.