Top Remote Analytics Jobs in New York City, NY

As a Senior Analytics Engineer at Forward Financing, you'll design and maintain data models, collaborate with various teams to enhance analytics platforms, ensure data quality, and integrate third-party data sources to support business decisions.

The Sr Operations Coding Analyst is responsible for making complex coding decisions on claims and appeals, guiding junior analysts, and ensuring compliance with coding guidelines and policies. They lead improvements in claims editing processes, monitor performance, and resolve provider disputes, utilizing independent judgement and collaboration with other departments and vendors.

The Principal Researcher will lead research initiatives focusing on the effectiveness of family caregiving programs, overseeing study design and execution, analyzing health outcomes, and shaping research agendas. This role involves collaboration with teams to influence healthcare policy and improve health outcomes for aging populations.

As an Analytics Engineer, you will create and optimize data models, work with product and engineering teams to ensure accurate data generation, collaborate with stakeholders on project timelines, and improve data processes using various analytics tools.

The Sr. Global Privacy and Data Protection Counsel at Pendo will oversee global data privacy needs, ensure compliance with privacy regulations, lead legal activities related to Pendo’s privacy program, and provide counsel to various business units. The role requires collaboration with product and engineering teams, as well as training the legal department on data privacy regulations.

As a Data Entry Assistant, you will assist customers by providing information, resolving issues, and ensuring a great customer experience while working remotely. You will leverage your communication skills and problem-solving abilities to support customer inquiries and maintain a high satisfaction rate.

The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.