Top Analytics Engineer Jobs in NYC, NY

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.

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

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.

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 Analytics Engineer I designs and maintains data models and transformations, collaborating with stakeholders to ensure data quality and support analytics needs in a healthcare environment.

The Vice President, Lead Data & Analytics Engineer will develop BI reporting solutions, troubleshoot data issues, and collaborate with teams in a financial services setting, using various data tools and technologies.

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 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.

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.

The Analytics Engineer will design and implement analytics solutions, maintain reporting dashboards, partner with Product on KPIs, and support marketing with analytics.

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

The Founding Analytics Engineer will create and implement the analytics infrastructure, establish data models, define metrics, and enable data-driven decision making for healthcare practices.

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.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.

The GTM Analytics Engineer will enhance data usage across the revenue organization by refining models, designing workflows, automating processes, and partnering with teams to improve GTM strategies.

Design and implement data pipelines, manage data with SQL and Python, automate workflows, ensure data integrity, and build scalable data solutions on AWS and Redshift.

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.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

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

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

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.