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.

Lead the development of data solutions, manage data pipelines and governance, ensure data quality, and mentor a team of engineers and analysts.

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

As a Staff Analytics Engineer, you will bridge data engineering, data science, and business analytics to generate actionable insights, build data models, and empower stakeholders across the organization.

Fora seeks a Senior Analytics Engineer to enhance data modeling and delivery, ensuring access to reliable insights across teams. Responsibilities include managing the analytics layer, improving data performance, and mentoring while collaborating with stakeholders on analytics needs.

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.

As an Analytics Engineer, you will design data pipelines, build dashboards, and partner with teams to influence product strategy through data insights.

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 Analytics Engineer will build and maintain data models and pipelines, optimize data sources, and implement analytics frameworks to improve clinical programs.

The role involves owning the data infrastructure and pipeline, building robust data pipelines, managing Snowflake and dbt, and delivering analytics and dashboards.

As a Senior Analytics Engineer at CoreWeave, you will develop and maintain the enterprise semantic layer, transforming raw data into trusted models and analytics-ready datasets for decision-making across the company. You’ll utilize various analytics tools and collaborate with different teams to ensure data clarity and consistency.

Lead and support process design and optimization projects in pharmaceutical manufacturing, utilizing data analysis to improve safety, efficiency, and product quality.

The Associate Consultant will work on manufacturing process design, optimization, and scaling in the biotech sector, conducting data analyses and supporting client presentations.

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

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.

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 a Staff Analytics Engineer, you'll design and maintain a robust analytics data layer, ensuring accuracy in R&D data and mentoring team members.

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 Senior Analytics Engineer will manage product analytics, build dashboards, design dbt models, conduct A/B tests, and collaborate with various teams to improve product features.

The Senior Data Analytics Engineer will own the data ecosystem, manage pipelines, support AI/ML initiatives, and translate business goals into technical requirements. They will also ensure data reliability and optimize performance across analytics platforms.

The Lead Analytics Engineer drives scalable data solutions, enhances data strategy, and leads technical initiatives while mentoring the analytics team.

As the first data hire, establish LiveKit's analytics practice, create data models, actionable KPIs, and enable data-driven decision making while collaborating with stakeholders and developing AI-first workflows.

The Analytics Engineer will develop scalable data models, collaborate with business teams, and ensure data quality, while empowering stakeholders with tools and training.