Top Remote Senior Data & Analytics Jobs in NYC, NY

The Senior Machine Learning Engineer will design and implement complex machine learning models, conduct experiments and validations, develop scalable infrastructure, mentor junior members, and present results to stakeholders, all while ensuring high data quality and best practices.

This Senior Data Analyst role involves predicting revenue and margins, supporting sales teams with analyses, and providing actionable insights to guide strategic decisions. You will maintain KPIs, create automated reports, and collaborate with various business teams.

Design and maintain data infrastructure services, develop DBT models, create scalable streaming and offline ETL pipelines, and enhance data operations for Flex's financial products. Collaborate with analytics teams to improve data utilization and automate processes.

The Audience Insights Analyst will support the growth of Axios Intelligence by pulling reports, visualizing data insights, and communicating findings to clients. The role requires collaboration with internal teams to transform audience data into actionable strategies and requires strong analytical and communication skills.

As a Senior Data Scientist at Thyme Care, you'll develop and maintain financial models to evaluate clinical impacts on financial performance, identify measurement gaps, standardize reporting practices, and drive cross-functional collaboration to enhance healthcare outcomes. You'll engage in analyses related to value-based contracts and forecast savings while presenting insights to executive leadership.

The Senior Business Intelligence Analyst at Octave will collaborate with cross-functional teams to identify business problems, create and maintain operational dashboards in Tableau, and develop data-driven solutions. This role will train stakeholders on dashboards and perform complex data analysis to drive insights and growth.

The Data Governance Manager will develop and implement data governance frameworks, ensuring data quality and compliance with regulations. They will collaborate with cross-functional teams to manage data standards, oversee data lifecycle management, conduct audits, and provide training. The role requires strong analytical and project management skills while driving the adoption of data governance initiatives.