Top Analytics Engineer Jobs in NYC, NY

As a GTM Analytics Engineer, you will enhance data infrastructure, build SSOT models, and optimize data pipelines to support analytics and business decisions.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.

As a Senior Analytics Engineer, you will bridge data engineering and analytics, creating scalable data solutions while collaborating with stakeholders to drive data-driven decisions and improve business value.

Design and build data models and pipelines, implement semantic layers for analytics, ensure data quality, and partner cross-functionally to provide insights and dashboards.

The Sr. Analytics Engineer designs data models for reporting, collaborates across teams, and optimizes cloud-based data warehouses, particularly in healthcare settings.

The Data Analytics Engineer will design data pipelines, collaborate with internal teams, ensure data accuracy, and advocate for innovative practices while managing data systems and analyses.

The role focuses on improving application quality of experience through data analytics and engineering, collaboration with teams, and effective communication.

As a Senior Analytics Engineer, you'll design metrics, generate insights, and drive analytics initiatives to support Netflix's ads business.

As an Associate Value Engineer, you will utilize your technical skills to consult with customers, develop AI-driven solutions, and establish trusted advisor relationships, all within the context of an immersive 12-month program.

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 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.

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 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.

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.

As Director of Analytics Engineering, you will develop data strategy, manage a team, and create data solutions for stakeholders. You'll ensure high-quality data modeling and establish standards for data quality and structure.

As an Analytics Engineer, you'll partner with sales teams to define metrics, develop dashboards, and improve data reporting for impactful analyses.

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.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

The Senior Analytics Engineer will build data models, collaborate with analysts, and optimize data transformations for analytics within FanDuel's products.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.