Top Analytics Engineer Jobs in NYC, NY

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.

As a Payment Analytics Engineer, you will ensure data consistency in payments, automate reporting, analyze interchange data, and collaborate with Engineering for data management.

The Product Analytics Developer will build scalable data pipelines, manage data models, ensure data quality, and provide analytical insights to support the Product team.

In this role, you will enhance analytics workflows, mentor peers, drive data product improvements, and use AI tools for automation in Corporate Finance.

The Analytics Engineer will develop scalable data solutions, create data pipelines, address data quality issues, and assist in product innovation in an e-commerce and retail context.

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

As a Data Analytics Engineer at dv01, you'll manage data pipelines, write production-ready code, and collaborate with analysts and clients, leveraging modern technologies to optimize data for the financial market.

The Analytics Engineer will support Finance and Accounting operations, focusing on data model development, platform optimization, technology adoption, problem-solving, and collaboration to drive data-driven business decisions.

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.

The Analytics Engineer will build analytical frameworks to enhance identity experiences at Netflix, collaborating across teams to ensure data quality and drive insights.

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.

Lead sales analytics development within Salesforce, creating Tableau dashboards, applying predictive insights, and collaborating with sales leadership to drive data-driven decisions.

The Senior Analytics Engineer role involves designing data models, optimizing data pipelines, collaborating with teams, and translating business requirements into actionable insights, driving commercial value from data.

The Staff Analytics Engineer will architect the management reporting warehouse, enforce data governance, collaborate with Finance, and ensure rigorous data standards for business reporting.

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

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

The Principal Data Analytics Engineer will design complex data models, optimize querying processes, mentor team members, and ensure data quality across financial datasets.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

Design and build data models and pipelines, implement semantic layers for analytics, ensure data quality, and partner cross-functionally to provide insights and dashboards.

The Senior Analytics Engineer will design scalable data models, collaborate with teams to create analytics pipelines, and implement data governance best practices.

The Detection Engineer will enhance OT security by cataloging assets, developing detection logic, troubleshooting configurations, and conducting research on PCAPs in collaboration with engineering teams.

The role involves creating scalable analytics products, dashboards, and visualization tools to support the Poker business, collaborating with analysts to develop data infrastructure and reporting capabilities.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

As a Senior Analytics Engineer, you will build and maintain data products, create ELT pipelines, and influence the analytical roadmap while mentoring engineers.