Top Data & Analytics Jobs in New York City, NY

Manage and administer MSSQL and PostgreSQL databases, developing and optimizing SQL queries, designing stored procedures, and ensuring database security. Collaborate with teams for database troubleshooting and use AWS services for deployments. Maintain system performance and integrity, while staying updated with best practices in database management.

As a Staff Data Scientist in Growth, you'll develop predictive models and analytics to enhance customer insights and optimize marketing strategies. Collaborate with teams to integrate data-driven findings into decision-making, and lead experiments to validate growth hypotheses. Your role is critical in driving customer engagement and contributing to overall growth initiatives at Quince.

The Reporting Analyst will develop and optimize SQL queries, design reporting dashboards using Metabase and Superset, collaborate with teams for reporting needs, ensure data accuracy, and communicate findings to stakeholders. The role emphasizes learning and adapting to new data visualization trends.

The Data Processor role involves investigating and analyzing healthcare providers for credentialing. Key responsibilities include verifying documents, updating formats, processing incoming data, and maintaining accurate records. Strong attention to detail and communication skills are essential, along with the ability to work independently and as part of a team to achieve quality results.

The Insurance Analyst at Fairmatic is responsible for tracking key performance indicators, conducting trend analysis related to insurance metrics, supporting strategic initiatives, managing data integrity, and enhancing business analytics tools with user feedback.

The role involves conducting market and protocol research to identify opportunities in DeFi, managing portfolio risks, engaging with protocol teams, and collaborating on product development. It requires strong communication skills and a solid understanding of DeFi protocols and practices.

The Data Scientist I role involves developing and monitoring quantitative models, analyzing large datasets using various analytical techniques, and collaborating with technology teams to implement models. Responsibilities include data management, model performance assessment, and advising management on trends and risks.