Top Analytics Engineer Jobs in NYC, NY

As a VP in QRMC, develop and maintain mathematical models, enhance risk analytics platforms, design algorithms, and work on product innovation in finance.

Lead the design and implementation of analytics processes, create robust data models, and drive insights across Zocdoc's organization.

The Staff Analytics Engineer will bridge data engineering, data science, and business analytics, building data solutions, enabling data-driven decisions, and collaborating with cross-functional teams to optimize business metrics.

The Lead Analytics Engineer will design and implement data models, standardize semantic layers, enhance data quality, and mentor other engineers while ensuring compliance with healthcare standards.

The Data Analytics Engineer will manage data integration, create dashboards, analyze healthcare data, and support decision-making in a collaborative environment.

The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.

As an Analytics Engineer, you will design, build, and maintain data models and pipelines, collaborating with Data Engineering and Data Science teams to transform data into actionable insights while ensuring data quality and governance.

As the first Analytics Engineer at Rain, you will consolidate and model data sources, create reliable datasets, and develop metrics and dashboards for decision-making across the company.

The Senior Analytics Engineer will develop and optimize dbt infrastructure and scalable data models, ensuring consistent business logic and supporting data-driven initiatives across the organization.

As a Staff Analytics Engineer, you'll architect and implement scalable data solutions, lead the analytics strategy, and mentor junior engineers, optimizing data processes and delivering insights that influence business growth.

The Senior Analytics Engineer will build data warehouses, models, and pipelines, supporting analytics needs across teams and enhancing data infrastructure.

As an Analytics Engineer, you'll create metrics, design dashboards, support data requests, and collaborate to enhance product insight and efficiency.

The Analytics Engineer will design and maintain data infrastructure for analytics, collaborate with teams, implement data governance, and optimize reporting.

The Lead Digital Analytics Engineer will modernize site analytics, implement a unified data layer, consolidate tag management systems, and ensure data quality across a multi-brand ecommerce environment.

As an Analytics Engineer, you'll build and maintain product analytics, define success metrics, analyze user journeys, and ensure data quality.

Build and own dashboards and self-serve analytics; partner with engineering to design data infrastructure; define metrics and data models for performance.

As a Senior Staff Analytics Engineer, you'll develop data models, collect requirements, and set standards for data quality, working with various teams to enhance decision-making.

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.

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 Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

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.

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 Analytics Engineer will support Finance and Accounting operations, focusing on data model development, platform optimization, technology adoption, problem-solving, and collaboration to drive data-driven business decisions.

The Analytics Engineer will build analytical frameworks to enhance identity experiences at Netflix, collaborating across teams to ensure data quality and drive insights.