Top Analytics Engineer Jobs in NYC, NY

As a Data Analytics Engineer, you'll design clean datasets in Snowflake for AI tooling, ensuring teams access reliable data for decision-making.

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.

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.

As an Analytics Engineer at Copia, you'll automate GTM operations, build BI infrastructure, advise leadership with data analysis, and design internal AI applications.

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 Analytics Engineer will develop the Analytics layer in the data warehouse using dbt, define business logic with SQL, and collaborate with teams to meet data 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.

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

The role involves designing and implementing high-performance APIs for a mortgage analytics quantitative library, enhancing system performance, and collaborating with various teams.

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.

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

The FinOps Engineer II will develop cost optimization solutions, monitor cloud expenses, create dashboards, and support cloud financial operations.

The role involves implementing automated cost monitoring and optimization solutions, collaborating across teams, and enhancing cost management capabilities within CrowdStrike's FinOps practice.

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

The Senior Analytics Engineer will build and scale the analytics layer for decision-making. Responsibilities include design, implementation, testing, and maintaining data reliability across teams.

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

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.

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

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.

The Analytics Engineer will analyze data to support marketing efforts, optimizing campaigns and reporting on performance using SQL and BI tools.

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

Lead development and ownership of BigQuery data assets, pipelines, and observability. Build and optimize dbt models, CDC/file/streaming ingestion, and streaming replication. Partner with engineering and business teams to enable self-service analytics, advanced analytics (LTV, churn, attribution), and reliable real-time data products.

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.

As a Senior Analytics Engineer, you will design and maintain reliable data pipelines, improve data workflows, and mentor teammates to influence analytics practices at Spark.