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

As a Research Assistant, you'll work with youth and families, administer assessments, manage data entry, and contribute to research reports.

The Senior Associate will manage web analytics, report delivery, and collaboration with business partners to enhance digital marketing effectiveness.

The Analytics Engineer will build data infrastructures, create dashboards, define metrics, structure datasets for AI projects, and foster insights across company functions.

The Analytics Engineer will build data and analytics capabilities, create dashboards, partner with teams to define metrics, and prepare datasets for AI features.

As an Analytics Engineer, you will build dashboards, structure data, and prepare metrics for AI features while collaborating across teams to derive insights.

The Vice President will analyze U.S. RMBS transactions, lead credit ratings, perform cash flow analysis, and enhance structured finance methodologies.

The Senior Revenue Analytics Manager will provide analytics and insights for GTM teams, support forecasting, develop dashboards, and analyze sales performance to improve revenue efficiency.

The Senior Manager, Credit Risk will develop underwriting strategies, manage product design, and collaborate with teams to drive product growth and risk management.

Implement mortgage prepayment models in C++ for a financial software library. Collaborate across teams, ensure code quality, and maintain documentation. Requires deep understanding of quantitative analytics and software development best practices.

The role involves validating market risk models, utilizing statistical modeling and machine learning, and clearly communicating findings to stakeholders.

This role involves executing and delivering analytical reports, linking data for marketing optimization, and communicating analysis results to clients.

Fora seeks a Senior Analytics Engineer to enhance data modeling and delivery, ensuring access to reliable insights across teams. Responsibilities include managing the analytics layer, improving data performance, and mentoring while collaborating with stakeholders on analytics needs.