出海雷达

分析师 II,全栈(收入分析)

Analyst II, Full Stack (Revenue Analytics)

开发工程市场运营职能支持限定地区(需当地身份)日间重叠约 2 小时,需偶尔早起或晚睡
公司Affirm
薪资226,000 - 346,000/年 PLN
工作地点Poland
地域资格限定地区(需当地身份)
时区要求日间重叠约 2 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间12 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 Poland 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。
作息提示:日间重叠约 2 小时,需偶尔早起或晚睡。

在Affirm,我们为那些重要的时刻而存在——让人们以清晰、可预测的方式分期付款,没有隐藏费用、没有意外,也不会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的收入业务。
作为高级分析师,收入分析,您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、自动化到赋能的端到端工作。
您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。理想的候选人需要具备强大的技术和分析能力,能够将模糊的业务问题转化为持久且经过充分测试的数据基础设施。

您将负责的工作

  • 为收入现场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
  • 构建和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,将需求转化为持久且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的工作流程)方面的最佳实践做出贡献
  • 开发流程、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工作的经验
  • 精通SQL、dbt、Python、数据建模和数据可视化
  • 使用BI工具(Sigma/Looker/Tableau)、Databricks和云数据仓库(Snowflake)的实际经验
  • 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
  • 能够独立工作,适应快节奏的环境
查看英文原文

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

We’re looking for curious, driven professionals to join our Revenue Analytics team. We partner closely with Revenue stakeholders to deliver the analysis, reporting, and data solutions that help grow and optimize Affirm’s revenue segments.
As a Senior Analyst, 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- Poland 2

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).

POL base pay range per year: 226 000 zł - 346 000 zł

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 Poland

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

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

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Originally posted on Himalayas

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