Top Analytics Engineer Jobs in NYC, NY

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 enhance data models, optimize performance in Snowflake, and bridge data engineering with analytics teams for strategic decision-making.

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

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.

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

The Analytics Engineer will architect scalable analytics systems, design data models, and integrate AI workflows to enhance decision-making across functions at Ontic.

The Senior Analytics Engineer will transform raw data into clean datasets, ensuring data quality, collaboration across teams, and creating robust analytics for business insights.

The Digital Marketing Analytics Engineer handles data systems, analytics, and reporting for clients, transforming complex data into actionable insights while collaborating with marketing teams.

Lead the development of programmatic signals analytics for Netflix Ads, creating metrics and dashboards for optimizing audience targeting and ROI.

The Staff Analytics Engineer will enhance the analytics data layer, improve data quality, maintain core data models, and introduce AI-assisted workflows to optimize insights generation.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

Collaborate with stakeholders to analyze data and metrics, implement analytical models, and enhance data quality for business forecasting.

As a Staff Product Analytics Engineer, you will build and maintain data infrastructure, collaborate across teams to enhance product data use, and develop tools for data self-service.

As an Analytics Engineer, you will build data workflows and analytics products, ensuring data accuracy and reliability while contributing to financial data deliveries.

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.

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 Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

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

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

The Predictive Analytics Engineer will manage Python and R tools, develop cloud operations, and automate analytics services using AI and ML while ensuring compliance and security.

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.