远程工作雷达

分析工程师 II,全栈(收入分析)

Analytics Engineer II, Full Stack (Revenue Analytics)

开发工程职能支持限定地区(需当地身份)
公司Affirm
薪资未公开
工作地点Remote Spain
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间28 天前
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote Spain 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

在Affirm,我们存在的意义是为那些重要的时刻提供清晰、可预测的支付方式,没有隐藏费用,没有意外,也没有在最重要的事情上做出妥协。

我们正在寻找一位充满好奇心、有驱动力的专业人士加入我们的收入分析团队。该团队负责构建和维护数据产品、报告基础设施、语义基础和分析系统,这些系统支撑着Affirm的收入部门。

作为收入分析团队的分析师,你将构建可扩展的数据产品,支持日常决策——负责从数据建模、指标定义、仪表板、自动化到赋能的全流程工作。
你还将帮助加强我们的语义层和数据治理,为可靠的AI打下基础。理想的候选人具备扎实的技术和分析能力,能够将模糊的业务问题转化为可靠、经过充分测试的数据基础设施。

你将负责的工作

  • 为收入领域团队和收入分析师开发dbt数据模型、仪表板、指标和自动化流程
  • 构建并维护关键的报告数据模型,支持外部商户报告
  • 构建语义、元数据和上下文层,使AI系统能够准确理解收入数据、指标和业务定义
  • 与业务系统、工程和业务利益相关者合作,将需求转化为可靠、经过充分测试的数据产品
  • 为团队在版本控制、代码审查、文档和发布规范(基于GitHub的工作流)方面贡献最佳实践
  • 建立流程、治理和基础架构,以扩大分析在收入领域的影响力

我们寻找的人选

  • 3年以上分析工程或商业智能相关的工作经验
  • 熟练掌握SQL、dbt、Python、数据建模和数据可视化
  • 熟悉BI工具(Sigma/Looker/Tableau)、Databricks和云数据仓库(Snowflake)
  • 了解可靠AI所需的数据基础,包括语义层、元数据、评估、指标定义、文档和数据质量
  • 有将AI工具整合到日常分析工程工作流中的实际经验,以提高开发速度、质量和可扩展性
  • 熟悉Salesforce,并有支持企业商业领域的经验
  • 能够识别用户需求,并将其转化为稳健、可扩展的数据产品
  • 能够快速上手
查看英文原文

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization.
As a Analyst at Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement. 
You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure.

What you'll do

  • Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts
  • Build and maintain critical reporting data models that power external merchant reporting
  • Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions
  • Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products
  • Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows)
  • Develop processes, governance, and foundations to scale the impact of analytics within Revenue.

What we look for

  • 3+ years of work experience in an analytics engineering or business intelligence role
  • Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization
  • Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake)
  • Understanding of the data foundations required for reliable AI, including semantic layers, metadata, evals, metric definitions, documentation, and data quality
  • Demonstrated experience integrating AI tools into day-to-day analytics engineering workflows to improve development speed, quality, and scalability
  • Familiarity with Salesforce and experience supporting commercial areas of the business
  • Ability to identify user needs and translate them into robust, scalable data products
  • Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work toward an impactful solution
  • Ability to communicate findings and recommendations clearly to both technical and non-technical audiences.

Compensation and Benefits

Base Pay Grade - K

Equity Grade - 3

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.

ESP base pay range per year: 63,000 - 99,000 EUR

Additional benefits include:

  • Type of employment: Contract of Employment
  • Flexible Spending Wallets for tech, food and lifestyle
  • Away Days - wellness days to take off work and recharge
  • Learning & Development programs
  • Parental benefits
  • Employee Resource & Community Groups

This role is eligible for creative tax benefits, subject to applicable law and company policy

Location - Remote Spain

The majority of our roles can be located anywhere in Spain.

**This job description is not a contractual document, and is not intended to have binding force.**

#LI-Remote

Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.

Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:

  • Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
  • Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
  • Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
  • Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

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