GTM 分析工程师
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Analytics Engineer, GTMOpenAI · San Francisco; New York City · $220k – $335k
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职位描述
机器翻译关于该职位 作为进入市场组织（Go-to-Market）中数据团队的一员，您将帮助构建数据驱动文化、改进决策，并通过分析推进战略举措。 这是一个全栈数据职位，涵盖数据建模、指标定义、可视化、分析和自助式工具。您将构建可信、可扩展的数据源和数据产品，为业务提供可靠、可执行的洞察。这项工作需要判断力：您将选择最适合每个问题的工具、方法和投入程度，从聚焦的分析到持久的生产数据产品。 作为 GTM 组织的核心合作伙伴，您将同时满足基础性和临时性分析需求。您将把复杂数据转化为清晰的叙述，帮助技术和非技术受众理解正在发生什么、为何重要，以及他们接下来应该做什么。 在这个职位中，您将 • 与 GTM 团队紧密合作，主动识别高影响力问题，并将业务需求转化为数据模型、指标、分析和可扩展的技术解决方案。
• 定义、获取、验证并运营指导业务的指标，帮助团队将其纳入规划和日常决策。
• 领导跨职能数据项目，覆盖成熟和新兴业务领域，包括为全新领域制定数据战略。
• 构建可扩展的数据模型和管道，将来自多个来源的数据集成并转化为可信、可访问的数据集。
• 创建仪表板、报告、分析工具和其他数据产品，使利益相关者能够独立回答问题。
• 负责指标、分析模型和数据产品的全生命周期，从初始探索和原型设计到生产及持续维护。
• 根据受众、紧迫性、复杂性和预期价值，为每个问题选择最有效的方法——无论是分析、指标、数据模型、可视化还是自助式产品。
• 在优先处理相互竞争的请求时运用出色判断力，在即时业务需求与提升数据生态系统长期质量和可扩展性的投入之间取得平衡。
• 使用 AI 辅助开发工具提高生产力，同时保持清晰、经过测试且可维护的代码、数据模型和文档。
• 通过演示、书面备忘录、仪表板和其他适合受众的形式，将复杂发现转化为清晰、有说服力的叙述。
如果您符合以下条件，您可能会在这个职位中表现出色 • 在快节奏、结果导向的组织中拥有 10+ 年相关数据职位经验。
• 能够独立构建并负责模糊但高影响力的业务问题，从初始界定到建议和执行。
• 在应对技术、运营和利益相关者限制时高度自主、足智多谋且富有创造力。
• 在决定优先处理什么、投入多深，以及何时应将快速答案转化为持久数据产品时，能够运用出色判断力。
• 拥有深厚的 SQL 专业知识，以及处理大型数据集和设计 ETL 工作流的丰富经验。
• 理解有效的软件和分析工程实践，并能够使用 AI 工具加快速度，同时不造成脆弱系统、不清晰代码或不必要的复杂性。
• 熟练掌握一种定量编程语言，最好是 Python。
• 具有使用 Tableau 或 Looker 等 BI 工具的经验，并了解如何实现有效的自助式分析。
• 使用过 React、Streamlit 或 Plotly Dash 等自定义可视化框架。
• 能够通过备忘录、演示、仪表板和其他形式，将复杂分析转化为有说服力的故事。
• 具备卓越的细节关注能力和对准确性的坚定承诺。
• 已交付显著的商业影响，最好是在销售、财务、支持或其他 GTM 职能中。
关于 OpenAI OpenAI 是一家 AI 研究和部署公司，致力于确保通用人工智能造福全人类。我们推动 AI 系统能力边界，并寻求通过我们的产品将其安全部署到世界。AI 是一种极其强大的工具，必须以安全和人类需求为核心来创建；为实现我们的使命，我们必须包容并重视构成人类完整光谱的众多不同视角、声音和经验。 我们是提供平等机会的雇主，不因种族、宗教、肤色、国籍、性别、性取向、年龄、退伍军人身份、残疾、遗传信息或其他适用的受法律保护特征而歧视。 如需更多信息，请参阅 OpenAI 的平权行动和 equal employment opportunity 政策声明。 对申请人的背景调查将依据适用法律进行，对于美国候选人，有逮捕或定罪记录的合格申请人将依据这些法律获得就业考虑，包括《旧金山公平机会条例》、《洛杉矶县雇主公平机会条例》和《加州公平机会法》。对于未建制洛杉矶县工作者：我们合理认为，犯罪历史可能与以下工作职责存在直接、不利和负面的关系，可能导致有条件录用通知被撤回：保护委托给您的计算机硬件免遭盗窃、丢失或损坏；在雇佣终止或任务结束时归还您持有的所有计算机硬件（包括其中包含的数据）；以及维护专有、机密和非公开信息的保密性。此外，工作职责要求访问安全且受保护的信息技术系统以及相关的数据安全义务。 如需通知 OpenAI 您认为该职位发布不合规，请通过此表单提交报告。与职位发布合规无关的询问将不会得到回复。 我们致力于为残障申请人提供合理便利，可通过此链接提出请求。 OpenAI 全球申请人隐私政策 在 OpenAI，我们相信人工智能有潜力帮助人们解决巨大的全球挑战，我们希望 AI 带来的益处能够被广泛共享。加入我们，共同塑造技术的未来。
岗位职责
作为进入市场组织（Go-to-Market）中数据团队的一员，您将帮助构建数据驱动文化、改进决策，并通过分析推进战略举措。 这是一个全栈数据职位，涵盖数据建模、指标定义、可视化、分析和自助式工具。您将构建可信、可扩展的数据源和数据产品，为业务提供可靠、可执行的洞察。这项工作需要判断力：您将选择最适合每个问题的工具、方法和投入程度，从聚焦的分析到持久的生产数据产品。 作为 GTM 组织的核心合作伙伴，您将同时满足基础性和临时性分析需求。您将把复杂数据转化为清晰的叙述，帮助技术和非技术受众理解正在发生什么、为何重要，以及他们接下来应该做什么。 在这个职位中，您将 • 与 GTM 团队紧密合作，主动识别高影响力问题，并将业务需求转化为数据模型、指标、分析和可扩展的技术解决方案。
• 定义、获取、验证并运营指导业务的指标，帮助团队将其纳入规划和日常决策。
• 领导跨职能数据项目，覆盖成熟和新兴业务领域，包括为全新领域制定数据战略。
• 构建可扩展的数据模型和管道，将来自多个来源的数据集成并转化为可信、可访问的数据集。
• 创建仪表板、报告、分析工具和其他数据产品，使利益相关者能够独立回答问题。
• 负责指标、分析模型和数据产品的全生命周期，从初始探索和原型设计到生产及持续维护。
• 根据受众、紧迫性、复杂性和预期价值，为每个问题选择最有效的方法——无论是分析、指标、数据模型、可视化还是自助式产品。
• 在优先处理相互竞争的请求时运用出色判断力，在即时业务需求与提升数据生态系统长期质量和可扩展性的投入之间取得平衡。
• 使用 AI 辅助开发工具提高生产力，同时保持清晰、经过测试且可维护的代码、数据模型和文档。
• 通过演示、书面备忘录、仪表板和其他适合受众的形式，将复杂发现转化为清晰、有说服力的叙述。
如果您符合以下条件，您可能会在这个职位中表现出色 • 在快节奏、结果导向的组织中拥有 10+ 年相关数据职位经验。
• 能够独立构建并负责模糊但高影响力的业务问题，从初始界定到建议和执行。
• 在应对技术、运营和利益相关者限制时高度自主、足智多谋且富有创造力。
• 在决定优先处理什么、投入多深，以及何时应将快速答案转化为持久数据产品时，能够运用出色判断力。
• 拥有深厚的 SQL 专业知识，以及处理大型数据集和设计 ETL 工作流的丰富经验。
• 理解有效的软件和分析工程实践，并能够使用 AI 工具加快速度，同时不造成脆弱系统、不清晰代码或不必要的复杂性。
• 熟练掌握一种定量编程语言，最好是 Python。
• 具有使用 Tableau 或 Looker 等 BI 工具的经验，并了解如何实现有效的自助式分析。
• 使用过 React、Streamlit 或 Plotly Dash 等自定义可视化框架。
• 能够通过备忘录、演示、仪表板和其他形式，将复杂分析转化为有说服力的故事。
• 具备卓越的细节关注能力和对准确性的坚定承诺。
• 已交付显著的商业影响，最好是在销售、财务、支持或其他 GTM 职能中。
关于 OpenAI OpenAI 是一家 AI 研究和部署公司，致力于确保通用人工智能造福全人类。我们推动 AI 系统能力边界，并寻求通过我们的产品将其安全部署到世界。AI 是一种极其强大的工具，必须以安全和人类需求为核心来创建；为实现我们的使命，我们必须包容并重视构成人类完整光谱的众多不同视角、声音和经验。 我们是提供平等机会的雇主，不因种族、宗教、肤色、国籍、性别、性取向、年龄、退伍军人身份、残疾、遗传信息或其他适用的受法律保护特征而歧视。 如需更多信息，请参阅 OpenAI 的平权行动和 equal employment opportunity 政策声明。 对申请人的背景调查将依据适用法律进行，对于美国候选人，有逮捕或定罪记录的合格申请人将依据这些法律获得就业考虑，包括《旧金山公平机会条例》、《洛杉矶县雇主公平机会条例》和《加州公平机会法》。对于未建制洛杉矶县工作者：我们合理认为，犯罪历史可能与以下工作职责存在直接、不利和负面的关系，可能导致有条件录用通知被撤回：保护委托给您的计算机硬件免遭盗窃、丢失或损坏；在雇佣终止或任务结束时归还您持有的所有计算机硬件（包括其中包含的数据）；以及维护专有、机密和非公开信息的保密性。此外，工作职责要求访问安全且受保护的信息技术系统以及相关的数据安全义务。 如需通知 OpenAI 您认为该职位发布不合规，请通过此表单提交报告。与职位发布合规无关的询问将不会得到回复。 我们致力于为残障申请人提供合理便利，可通过此链接提出请求。 OpenAI 全球申请人隐私政策 在 OpenAI，我们相信人工智能有潜力帮助人们解决巨大的全球挑战，我们希望 AI 带来的益处能够被广泛共享。加入我们，共同塑造技术的未来。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
查看雇主原文
职位描述
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. In This Role, You Will • 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.
You Might Thrive in This Role If You • Have 10+ years of experience in a re
岗位职责
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. In This Role, You Will • 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.
You Might Thrive in This Role If You • 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.
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. 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. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . 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. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.