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支付高级分析负责人

机器翻译
查看雇主原标题Lead, Advanced Analytics, Payments

Airbnb · 美国

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 52/100,仅依据与该职位一起存储的证据计算。

52/100 发现指数
  • 新的雇主官方职位
  • 稀有职位匹配

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+11
  • 公司来源健康度+8

该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

Airbnb 诞生于 2007 年,当时两位房东在旧金山的家中接待了三位房客,此后已发展到超过 500 万名房东,在全球几乎每个国家接待了超过 20 亿人次房客入住。每天,房东们提供独特的住宿和体验,让房客能够以更真实的方式与社区建立联系。

你将加入的社区

我们正在寻找一位技术精湛、经验丰富的专业人士加入我们的团队,担任支付洞察分析负责人。在这一职位上,你将在执行 Airbnb 支付业务的战略方向中发挥关键作用。

在这一职位中,你将赋能、促进并协助简化支付平台、产品和运营组织之间集成的数据驱动决策。该团队致力于通过以数据和研究为指导的问题解决文化,实现卓越运营以及房东和房客体验。我们将定量测量注入用户旅程、产品和流程,并实施客观的成功指标。你将协作制定和实施与接收和处理资金相关的政策和程序。与财务部门合作,监督收款、对账和结算的日常运营(例如,及时处理支付监控系统中的问题)。协作将是这一职位的关键方面,因为你将与跨职能团队密切合作,推动流程改进并简化全球支付数据。你有效沟通并与组织各层级利益相关者建立关系的能力,对于实现我们的目标至关重要。

你将带来的不同

• 你热衷于使用数据、洞察、AI/ML 模型和实验来解决支付领域内的复杂问题;为现有解决方案增添新视角,并基于细致而深思熟虑的分析做出业务决策

• 你非常擅长构建和分析分析框架、统计模型和实验方法,以建立并传达因果关系并推动可衡量的影响。

• 你既是讲故事的人,也是技术人员,能够将深度技术分析和实验结果转化为有说服力的叙述,从而推动战略业务影响力

• 有能力通过以数据为支撑的叙事和可操作建议影响战略和路线图,从而在 eTeam 直属层面为关键项目创造影响。

典型的一天

• 生成支付报告并分析支付数据,以获得洞察并进行绩效评估

• 定期向管理层和利益相关者提供更新和报告,将复杂的技术发现转化为业务友好的叙述,并为领导层提供建议。

• 协助分析支付绩效和健康状况,对问题进行分诊,并就最佳解决方案和优化提供建议

• 设计、执行和分析实验,以评估支付策略、产品变更和流程改进的影响。

• 你将协作开展财务风险管理,包括损失、拒付和其他成本组成部分,以及支付流程的自动化

• 协助开展优化端到端支付旅程的举措,通过识别痛点、摩擦领域和改进机会

• 协作推动房东和房客倡导,以提升支付体验,放大声音并以有影响且可衡量的结果解决关切

• 协助构建新的支付策略,通过利用高级数据分析、AI/ML 技术为战略决策提供信息,以平衡不同卖家群体的财务风险和体验

• 利用在相邻支付风险领域(信任与安全、身份、欺诈、合规)的经验,带来跨职能洞察并识别系统性模式或机会。

• 紧跟支付领域的行业趋势、新兴技术和监管变化。主动识别创新机会

• 监控支付趋势,识别改进领域并实施优化支付处理的策略。

• 为平台提供指导,以维护稳健可靠的支付基础设施,为业务的整体财务健康做出贡献

你的专长

• 8 年以上商业分析行业经验,并拥有定量领域(例如统计学、计量经济学、计算机科学、工程、数学、数据科学、运筹学)的学位(硕士或博士优先)。

• 具有支持支付团队的经验和/或曾与支付组织密切合作,并已展示出对多个支付风险领域的接触,例如信任与安全、身份验证、欺诈预防、拒付、监管合规和财务风险管理。

• 精通 SQL,并精通至少一种用于数据分析的编程语言(Python 或 R)。

• 具有非实验性因果推断方法、实验和机器学习技术的经验,最好是在多边平台环境中

• 具备模式设计和高维数据建模(如 Airflow 等 ETL 框架)的工作知识

• 卓越的沟通和讲故事能力,你能够将高度技术性的工作(模型输出、实验结果、复杂数据分析)提炼为面向高级领导层和业务利益相关者的清晰、可操作的洞察。

• 能够在快速成长、有时不确定且复杂的环境中应对模糊性——能够在最少规划、指导和监督下行动。你能够识别直接职责范围内外的问题,并提出解决方案。

你的地点:

该职位为美国 - 可远程。该职位可能包括偶尔在 Airbnb 办公室工作或参加异地活动,具体与你的经理商定。虽然该职位可远程,但你必须居住在 Airbnb, Inc. 拥有注册实体的州。点击此处查看最新的排除州名单。该名单持续变化,因此如果你居住的州在排除名单上,请再次与我们确认。如果你的职位由另一家 Airbnb 实体雇用,你的招聘人员将告知你可以从哪些州工作。

我们对包容与归属的承诺:

Airbnb 致力于与尽可能广泛的人才库合作。我们相信多元化的想法能够促进创新和参与,并使我们能够吸引由创意驱动的人才,并开发最好的产品、服务和解决方案。鼓励所有符合条件的个人申请。

我们也努力提供对残障人士包容的申请和面试流程。如果你是残障候选人,并且在提交申请时需要合理便利,请通过以下方式联系我们:reasonableaccommodations@airbnb.com 。请包括你的全名、你申请的职位,以及协助你完成招聘流程所需的便利。

我们请求你仅在你因残障而无法完成我们的在线申请时联系我们。 我们将如何照顾你:

我们的职位名称可能跨越多个职业级别。实际基本工资取决于许多因素,例如:培训、可迁移技能、工作经验、业务需求和市场需求。基本工资范围可能会发生变化,并可能在未来修改。该职位也可能有资格获得奖金、股权、福利和员工旅行积分。

薪资

$164,000 — $191,000 USD

合理便利:我们致力于在招聘过程中为残障申请人提供合理便利。如果你需要帮助或便利,请在有人就职位联系你时告知你的招聘人员。

关于招聘诈骗的说明:诈骗者有时会冒充 Airbnb 招聘人员,从候选人那里获取金钱或个人信息。对于 Airbnb 的招聘流程,有几件事始终属实:我们的空缺职位发布在 Airbnb 的职业页面上,网址为 careers.airbnb.com,我们的招聘人员仅通过 @ airbnb.com 或 @ ext.airbnb.com 电子邮件地址联系。我们的招聘人员在面试期间绝不会询问你的社会安全号码、银行账户详细信息、护照或支付应用信息。我们也绝不会在面试过程中要求你支付费用、汇款、存入或兑现支票,或购买工作相关设备(例如公司笔记本电脑)。我们鼓励候选人对此类招聘诈骗保持警惕,如果你不相信某个人确实隶属于 Airbnb,请不要分享敏感信息。

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

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join

We are seeking a highly skilled and experienced professional to join our team as the Payments Insights Analytics Lead. In this role, you will play a critical part in executing the strategic direction of Airbnb's Payments operations.

Within this role, you will enable, facilitate, and assist in streamlining integrated data-driven decision making across the Payments Platform, Product, Operations organizations. The team is committed to operational excellence and Host and Guest experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product, processes and implement objective indicators of success. You will collaborate in the development and implementation of policies and procedures related to receiving and processing funds. Oversee the day to day operations in partnership with finance across collection, reconciliation and settlement (e.g., timely processing of payments motioning systems for issues). Collaboration will be a key aspect of this role, as you will work closely with cross-functional teams to drive process improvements and streamline payments data globally. Your ability to effectively communicate and build relationships with stakeholders at all levels of the organization will be essential in achieving our goals.

The Difference You Will Make

• You are passionate about solving complex problems within the Payments domain using data, insights, AI/ML models, and experimentation; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis

• You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships and drive measurable impact.

• You are a storyteller and technician that translates deeply technical analyses, and experimental results into compelling narratives that drive strategic business influence

• Ability to create impact for key projects at the eTeam direct level by iInfluencing strategy and roadmap through data-backed storytelling and actionable recommendations.

A Typical Day

• Generating payment reports and analyzing payment data for insights and performance evaluation

• Provide regular updates and reports to management and stakeholders, translating complex technical findings into business-friendly narratives and recommendations for leadership.

• Assist with analyzing payment performance and health, triaging the issue, and provide recommendation on the best course solution and optimization

• Design, execute, and analyze experiments to evaluate the impact of Payment strategies, product changes, and process improvements.

• You will collaborate on Financial Risk Management including losses, chargebacks and other cost components, and automation of payments processes

• Assist with initiatives to optimize the end-to-end payments journey by identifying pain points, friction areas, and improvement opportunities

• Collaborate with driving Host and Guest advocacy to enhance payment experience, amplifying voices and addressing concerns with impactful and measurable results

• Assist with building new payment strategies to balance financial risk and experience for different seller segments by utilizing advanced data analytics, AI/ML techniques to inform strategic decision-making

• Leverage experience across adjacent payment risk domains (trust & safety, identity, fraud, compliance) to bring cross-functional insights and identify systemic patterns or opportunities.

• Stay abreast of industry trends, emerging technologies, and regulatory changes in the payments landscape. Proactively identify opportunities for innovation

• Monitor payment trends, identify areas for improvement and implement strategies to optimize payments processing.

• Provide guidance to platform to maintain a robust and reliable payments infrastructure, contributing to the overall financial health of the business

Your Expertise

• 8+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).

• Have experience supporting Payments teams and/or have worked closely with payments organizations, with demonstrated exposure to multiple payment risk domains such as trust & safety, identity verification, fraud prevention, chargebacks, regulatory compliance, and financial risk management.

• Expert skills in SQL and expert in at least one programming language for data analysis (Python or R).

• Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting

• Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)

• Exceptional communication and storytelling skills, you can distill highly technical work (model outputs, experimental results, complex data analyses) into clear, actionable insights for senior leadership and business stakeholders.

• Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

薪资

$164,000 — $191,000 USD

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

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公司主页

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官方来源最新
美国全职未披露薪资
英文原文

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every c…

未出现在监控的职位板上
首次发现于3小时前
已核实3小时前
美国全职未披露薪资
英文原文

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every c…

未出现在监控的职位板上
首次发现于3小时前
已核实3小时前

Senior Staff Software Engineer, Trust原文

Airbnb · Software Engineering

官方来源最新
Remote - US远程全职未披露薪资
英文原文

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every c…

未出现在监控的职位板上
首次发现于3小时前
已核实3小时前
官方来源最新
美国全职未披露薪资
英文原文

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every c…

未出现在监控的职位板上
首次发现于3小时前
已核实3小时前