Top Analytics Engineer Jobs in NYC, NY

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

You'll design and maintain the data architecture and modeling for marketing analytics, collaborating with various teams to ensure data integrity and streamline processes.

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

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

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 build data warehouses, models, and pipelines, supporting analytics needs across teams and enhancing data infrastructure.

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

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 Analytics Engineer Manager will lead the analytics engineering foundation, drive financial data solutions, enhance reporting accuracy, and cultivate talent while collaborating with cross-functional teams.

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 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 Analytics Engineer will build scalable data products, improve the analytics platform, and support internal teams by translating business needs into data assets.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

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.

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

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

As a Senior Analytics Engineer, you will implement a scalable analytics infrastructure, design core data models, and collaborate cross-functionally to enhance business decision-making.

The Senior Analytics Engineer will drive analytics projects, improve customer experiences, and develop self-service tools while collaborating with stakeholders to meet business needs.

The Detection Engineer will enhance OT security by cataloging assets, developing detection logic, troubleshooting configurations, and conducting research on PCAPs in collaboration with engineering teams.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

As an Analytics Engineer, you will lead the design and optimization of scalable data pipelines and models, ensuring the monetization of data. You'll also mentor team members and collaborate on data strategy with cross-functional teams.