Top Data & Analytics Jobs in NYC, NY

The Complex Data Exchange Specialist manages data integration processes, ensuring high-quality data exchange between clients and systems, while mentoring peers and driving process improvements.

As a Senior Associate, you will assist clients in cloud data strategies, leveraging analytics, and aligning data architecture with business needs within a professional services framework.

The role involves managing market data for various asset classes, advising stakeholders, ensuring governance, and working with technology teams to support trading platforms and cost management.

The Staff Data Analyst will lead marketing analysis, own metrics, mentor a team, and partner with stakeholders to optimize growth strategies.

The Independent Assessment & Review Analyst will evaluate fraud program effectiveness, ensure regulatory compliance, and provide strategic insights to enhance fraud risk management.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

As a Data Scientist, you'll build and maintain portfolio systems, design risk frameworks, run backtesting experiments, and collaborate across teams to enhance portfolio analytics using AI-driven predictions.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

The Business Manager will develop strategies and oversee product management, marketing, credit risk, and collaboration with various departments to drive growth and enhance credit products.

As a Senior Business Analyst, you will analyze business challenges, support marketing efforts, and improve credit risk performance while collaborating with various departments to meet strategic goals.

The Data Operations Manager will lead the team, define extraction logic for asset data, and train AI models while collaborating with product and clients.