Top Analytics Engineer Jobs in NYC, NY

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

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

Lead data integration strategies, ensure data quality, develop BI improvements, and manage junior analysts to meet customer analytics needs.

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.

As a Staff Analytics Engineer, you'll lead the creation and maintenance of analytics solutions, developing data models and driving insights for decision-making across Zocdoc.

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.

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 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.

The role focuses on curating and maintaining data resources, optimizing pipelines, and collaborating with teams to ensure data cleanliness and accessibility.

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.

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.

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

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 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 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.

Design and maintain financial data models, develop data pipelines, create dashboards, and enable self-service data access for Finance stakeholders, leveraging AI for analytics.

The Analytics Engineer will build data infrastructure, manage data integrity, create dashboards, and enable data-driven marketing decisions. This role requires AI tool integration in daily work and collaboration with marketing stakeholders for insights and strategy.

The AI Analytics Engineer will build scalable AI-powered analytics infrastructure, design evaluation frameworks, and drive cross-functional adoption, transforming how analytics are approached within the organization.

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 Analytics Engineer will develop and maintain data models, enable self-service analytics, and drive impactful results by collaborating with stakeholders and leveraging AI tools to enhance data operations at LineLeap.

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

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.

Design, build, and maintain dbt-based analytics-ready data models and curated data marts powering a PBM financial risk engine. Onboard and optimize claims, pricing, contract, and utilization data, implement data quality controls, support forecasting and risk metrics, and enable advanced analytics and ML operationalization for finance and underwriting stakeholders.