Top Analytics Engineer Jobs in NYC, NY

The Analytics Engineer will build data models and pipelines for reporting and analytics, improving data infrastructure for ML and AI products, and setting processes for data collection and analysis.

The Quantitative Engineer Analyst assists in designing and implementing software components for data and analytics, collaborating with stakeholders and developing models and testing processes.

The Senior Analytics Engineer will develop data models and pipelines, partner across teams to enhance decision-making, and provide analytics support for business needs.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

Responsible for owning and modernizing research and analytics data pipelines, collaborating with teams to develop robust ETL workflows, and ensuring data quality and governance.

As an Analytics Engineer, you will develop and maintain analytics platforms, support data collection and orchestration, and improve code quality through best practices. You will collaborate with product teams and participate in on-call support for production services while engaging in a collaborative workplace culture.

Implement and maintain healthcare data pipelines, transform raw data for analytics, develop ML Ops frameworks, and analyze datasets to support healthcare operations.

The Senior Analytics Engineer II will transform data for self-service analytics, ensuring quality and reliability in data models, while mentoring junior team members and collaborating with stakeholders.

The Analytics Engineer will architect and maintain Rollstack's data stack, build data pipelines, normalize data, and support analytics for product and GTM teams.

Lead the development of programmatic signals analytics for Netflix Ads, creating metrics and dashboards for optimizing audience targeting and ROI.

As an Analytics Data Engineer, you'll build data pipelines, develop dashboards, and collaborate with teams to transform data into insights. You'll ensure data integrity and drive self-service analytics across the organization.

As a Data Analytics Engineer at dv01, you'll manage data pipelines, write production-ready code, and collaborate with analysts and clients, leveraging modern technologies to optimize data for the financial market.

The role involves designing, developing, and maintaining integration processes using Dell Boomi or Workato, managing implementations, and collaborating with IT partners to meet client requirements.

This role involves architecting and designing performance and analytics platforms, focusing on software development, cloud applications, and collaborating on technical solutions.

You will provide expertise in multi-asset class risk analytics, support sales efforts by demoing products, and enhance solutions based on client feedback.

The Senior Analytics Engineer will transform raw data into structured datasets, develop scalable data models, ensure data accuracy, and create analytics solutions and dashboards using Looker.

As a Senior Analytics Engineer, you will design data models and pipelines to enhance decision-making, collaborate across teams, and champion data governance initiatives.

The Senior Analytics Engineer will optimize data models and reporting analytics platforms, ensuring accurate data for business insights and stakeholder communication.

Develop and support tools, automation, analytics, and live ops for games, emphasizing collaboration and best practices within teams.

As a Senior Engineer, you will design and build scalable data solutions, manage data pipelines, and mentor other engineers, ensuring high-quality data analytics for the organization.

As a Software Engineer, you'll develop and enhance core analytics libraries using C++ and Python, collaborate with quants and traders, and ensure high-quality software delivery.

As a Sr. Analytics Engineer, you will partner with multiple stakeholders to transform data into actionable insights, maintain data governance, and drive product improvement through analytics engineering practices.

The Pre-Sales Technical Solutions Engineer designs and presents data and AI solutions, guiding clients on analytics architecture and machine learning to drive enterprise initiatives.

The role involves designing and building scalable data systems, managing data pipelines, ensuring data quality, and collaborating across various teams. Responsibilities include enhancing data infrastructure, writing production-grade code, developing dashboards, and mentoring team members.