Jobs · Information Technology · New York

Analytics Engineer, GTM

OpenAI · New York, NY · 1 mo ago
HybridInformation Technology$220k–$335k/yrFull-time

About The Role

As a member of the Data team within the Go-to-Market organization, you will help build a data-driven culture, improve decision-making, and advance strategic initiatives through analytics. This is a full-stack data role spanning data modeling, metric definition, visualization, analysis, and self-service tooling. You will build trusted, scalable data sources and products that give the business reliable, actionable insights. The work calls for judgment: you will choose the tool, approach, and level of investment that best fit each problem, from a focused analysis to a durable production data product. As a core partner to the GTM organization, you will address both foundational and ad hoc analytics needs. You will turn complex data into clear narratives that help technical and non-technical audiences understand what is happening, why it matters, and what they should do next.

Partner Closely With GTM Teams

Partner closely with GTM teams to proactively identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions.

Define, Source, Validate, and Operationalize Metrics

Define, source, validate, and operationalize the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions.

Lead Cross-Functional Data Projects

Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains.

Create Scalable Data Models and Pipelines

Create scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets.

Create Dashboards, Reports, Analytical Tools, and Other Data Products

Create dashboards, reports, analytical tools, and other data products that enable stakeholders to answer questions independently.

Owning the Lifecycle of Metrics, Analytical Models, and Data Products

Own the lifecycle of metrics, analytical models, and data products from initial exploration and prototyping through production and ongoing maintenance.

Choose the Most Effective Approach

Choose the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on the audience, urgency, complexity, and expected value.

Exercise Strong Judgment

Exercise strong judgment when prioritizing competing requests, balancing immediate business needs with investments that improve the long-term quality and scalability of the data ecosystem.

Use AI-Assisted Development Tools

Use AI-assisted development tools to increase productivity while maintaining clear, tested, and maintainable code, data models, and documentation.

Turn Complex Findings into Clear, Persuasive Narratives

Turn complex findings into clear, persuasive narratives through presentations, written memos, dashboards, and other formats suited to the audience.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

About Us

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background Checks

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.

Applicant Privacy Policy

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation Range

$220K - $335K

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