Analytics Engineer, GTM

Details

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.

Responsibilities

• 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 the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions.
• Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains.
• Build 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 that enable stakeholders to answer questions independently.
• 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 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 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 to increase productivity while maintaining clear, tested, and maintainable code, data models, and documentation.
• Turn complex findings into clear, persuasive narratives through presentations, written memos, dashboards, and other formats suited to the audience.

Requirements

• 10+ years of experience in a relevant data role within fast-moving, results-oriented organizations.
• Ability to independently structure and own ambiguous, high-impact business problems from initial framing through recommendation and execution.
• Highly autonomous, resourceful, and creative when navigating technical, operational, and stakeholder constraints.
• Strong judgment when deciding what to prioritize, how deeply to invest, and when a quick answer should become a durable data product.
• Deep SQL expertise and extensive experience working with large datasets and designing ETL workflows.
• Understanding of effective software and analytics engineering practices, with the ability to use AI tools to move faster without creating brittle systems, unclear code, or unnecessary complexity.
• Proficiency in a quantitative programming language, preferably Python.
• Experience with BI tools such as Tableau or Looker and knowledge of how to enable effective self-service analytics.
• Experience with custom visualization frameworks such as React, Streamlit, or Plotly Dash.
• Ability to turn complex analysis into persuasive stories using memos, presentations, dashboards, and other formats.
• Exceptional attention to detail and a strong commitment to accuracy.
• Experience delivering significant business impact, ideally within Sales, Finance, Support, or another GTM function.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI is an equal opportunity employer and does not discriminate on the basis of legally protected characteristics.

Background checks for applicants will be administered in accordance with applicable law. OpenAI is committed to providing reasonable accommodations to applicants with disabilities.

Benefits

• Base salary range of $220,000–$335,000, plus equity.
• Medical, dental, and vision insurance for employees and their families, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health and dependent care expenses, as well as commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, paid office closures, and paid sick or safe time as required by law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional taxable fringe benefits may be provided, such as charitable donation matching and wellness stipends.