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OpenAI is seeking an Analytics Engineer to join the Data team within the Go-to-Market organization. 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 deliver reliable, actionable insights to GTM teams.
Key responsibilities include partnering closely with GTM teams to identify high-impact questions and translate business needs into data models, metrics, and scalable technical solutions. You will define, source, validate, and operationalize metrics that guide business planning and day-to-day decisions. You'll lead cross-functional data projects across established and emerging business areas, including setting data strategy for greenfield domains.
You will build scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets. You'll create dashboards, reports, analytical tools, and other data products enabling stakeholders to answer questions independently. You own the full lifecycle of metrics, analytical models, and data products from exploration and prototyping through production and maintenance.
The role requires strong judgment in choosing the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on audience, urgency, complexity, and expected value. You'll balance immediate business needs with long-term investments in data ecosystem quality and scalability. You'll use AI-assisted development tools to increase productivity while maintaining clear, tested, and maintainable code and documentation. You'll turn complex findings into clear, persuasive narratives through presentations, memos, dashboards, and other formats suited to your audience.
Ideal candidates have 10+ years of experience in relevant data roles within fast-moving, results-oriented organizations. You should be highly autonomous and resourceful, capable of independently structuring and owning ambiguous, high-impact business problems from framing through recommendation and execution. Deep SQL expertise, extensive experience with large datasets and ETL workflows, and proficiency in Python are essential. Experience with BI tools like Tableau or Looker and custom visualization frameworks such as React, Streamlit, or Plotly Dash is valued. You should have delivered significant business impact, ideally within Sales, Finance, Support, or another GTM function.
