Top Analytics Engineer Jobs in NYC, NY

Design and maintain data models in Snowflake to serve as the company's source of truth, ensuring they are clean, queryable, and ready for AI integration. Collaborate with multiple departments to deliver trusted datasets and eliminate inefficiencies in data management.

The GTM Analytics Engineer will build and maintain data infrastructure, automate processes, and collaborate across teams on data management and insights to support revenue growth.

The Analytics Engineer will build data infrastructures, create dashboards, define metrics, structure datasets for AI projects, and foster insights across company functions.

The Principal Product Analytics Engineer leads the design and architecture of Toast's product analytics ecosystem, ensuring reliable and scalable data for analysis across various platforms. This role involves creating data frameworks, implementing quality controls, and collaborating with cross-functional teams to support data-driven product development and AI insights.

The role involves designing and building scalable data products, translating business needs into trusted data, and maintaining data quality for analytics at Upside.

The role involves leading the FinOps practice, overseeing cloud cost management across product and platform groups, and ensuring strategic alignment and cost efficiency. Responsibilities include team leadership, collaboration with engineering and finance, and reporting to senior leadership.

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

Design, build, and operate lakehouse platform components, drive open table format adoption, and collaborate on data architecture management.

Join Celonis' 12-month Orbit program to consult with customers, prototype AI and ML/LLM solutions on the Celonis platform using SQL and PQL, run proofs of concept, present value to executives, and collaborate with product, implementation, and partners to realize customer value.

The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.

The Analytics Engineer will design and maintain data infrastructure for business intelligence, optimize analytics processes, and ensure data quality and governance.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

This role involves designing and maintaining data pipelines, creating dashboards, and collaborating with stakeholders to drive analytics solutions for external data products.

As a Senior Analytics Engineer, you'll design data systems, implement data warehouses, optimize pipelines, ensure data quality, and mentor stakeholders on data best practices.

The Analytics Engineer will build data models, support financial functions, and collaborate with finance and crypto engineering teams to enhance data operations.

The Senior Analytics Engineer will design and implement ETL pipelines and dashboards, ensure data quality, train users, and develop advanced analytics solutions.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Founding Analytics Engineer will lead the data function, improving data infrastructure, ensuring clean data models, and promoting data literacy across Ambrook. Responsibilities include managing data pipelines, dashboards, and offering strategic insights for the company.

The Engineer will develop data analytics infrastructure for AV safety analytics, integrate simulation data, and collaborate to enhance automated driving systems' validation and performance metrics.

The Senior Analytics Engineer will build and maintain data models, ensure consistent KPIs, and drive self-service analytics, partnering with multiple business teams to enhance data usage.

The Director of Analytics Engineering will develop strategies for the analytics platform, manage a team, and collaborate with stakeholders to deliver data solutions at Flex.

The Senior Analytics Engineer will manage the analytics layer, owning dbt projects, orchestrating data pipelines, defining metrics, and ensuring data quality while mentoring the data team.

The Lead Analytics Engineer will define and expand Oscar's unified analytics data foundation, focused on dimensional models and semantic layers, while leading cross-functional projects and mentoring junior team members.

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