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 provide reliable, actionable insights. You will choose the tool, approach, and level of investment that best fit each problem, from focused analysis to durable production data products.

As a core partner to the GTM organization, you will address foundational and ad hoc analytics needs and turn complex data into clear narratives for technical and non-technical audiences.

Responsibilities

• Partner with GTM teams to identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions.
• Define, source, validate, and operationalize business metrics.
• Lead cross-functional data projects across established and emerging business areas, including setting 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 stakeholder self-service.
• Own the lifecycle of metrics, analytical models, and data products from exploration and prototyping through production and ongoing maintenance.
• Select the most effective approach for each problem, based on audience, urgency, complexity, and expected value.
• Prioritize competing requests while balancing immediate business needs with long-term data ecosystem quality and scalability.
• 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 audience-appropriate formats.

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.
• High autonomy, resourcefulness, and creativity 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 software and analytics engineering practices, including the ability to use AI tools 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 with enabling effective self-service analytics.
• Experience with custom visualization frameworks such as React, Streamlit, or Plotly Dash.
• Ability to communicate complex analysis through persuasive memos, presentations, dashboards, and other formats.
• Exceptional attention to detail and a strong commitment to accuracy.
• 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 provides reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law. Additional applicant privacy and employment policy information is available through OpenAI's policies.

Benefits

• Equity, performance-related bonuses for eligible employees, and benefits in addition to base salary.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, 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 include charitable donation matching and wellness stipends.