Analytics Engineer, Go-to-Market

Описание

OpenAI is hiring an Analytics Engineer for the Go-to-Market data team. The role involves building data models, pipelines, metrics, dashboards, and self-service analytical tools to support business decisions.

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

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