Top Analytics Engineer Jobs in NYC, NY

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 Analytics Engineer at Weedmaps will build and maintain data pipelines and analytics frameworks, collaborating with various teams to drive data-informed decision-making and improve business performance.

As an Analytics Engineer, you will develop data pipelines, analytics frameworks, and dashboards to support data-driven decisions and enhance customer acquisition. Collaborate with various teams to transform business needs into scalable data solutions while ensuring data integrity and quality.

The Analytics Engineer will oversee the analytics foundation for advertiser reporting, ensure metric consistency across campaigns, and work with various teams to manage metrics and data models for the expanding ad platform.

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.

The Data Analyst will build data pipelines, analyze complex datasets, and provide insights to support decision-making across multiple stakeholders in GFiber.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

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.

As an Analytics Engineer, you will transform raw data into reliable insights, build data models, and conduct analysis to support product and business decisions.

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.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.

The Data and Analytics Engineer will build and maintain scalable ELT pipelines, leveraging data for analytics and reporting within the Snowflake data architecture.

Design, build, maintain, and optimize data models, pipelines, and visualizations to support personalization for Sportsbook. Collaborate with data scientists, engineers, and stakeholders to create features, ensure data quality, improve metric pipelines, and deliver dashboards and actionable insights.

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.

Fora seeks a Senior Analytics Engineer to enhance data modeling and delivery, ensuring access to reliable insights across teams. Responsibilities include managing the analytics layer, improving data performance, and mentoring while collaborating with stakeholders on analytics needs.

The Lead GTM Analytics Engineer designs and manages the data model for GTM execution, ensuring accurate metrics and insights across Sales, Marketing, Customer Success, and Partnerships to drive revenue performance.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

As a Data & Analytics Engineer at Sent, you will design and build data pipelines, develop internal dashboards, and define key performance indicators to enhance data utilization and influence decision-making across the company.

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.

Join PermitFlow as an Analytics Engineer to design data infrastructure, build data pipelines, and support decision-making with analytics solutions.

As an Analytics Solution Engineer, you will leverage AI to deliver rapid data insights, collaborate with stakeholders, and build scalable analytics solutions.

The Analytics Engineer will build data and analytics capabilities, create dashboards, partner with teams to define metrics, and prepare datasets for AI features.

As an Analytics Engineer, you will build dashboards, structure data, and prepare metrics for AI features while collaborating across teams to derive insights.