资深分析分析师，全栈（收入）
Staff Analytics Analyst, Full Stack (Revenue)
在Affirm，我们为那些重要的时刻而存在——让人们能够以清晰、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。
关于团队：
我们正在寻找一位经验丰富的、高度独立的分析工程师加入我们的收入分析团队。该团队负责支持Affirm收入部门的数据产品、报告基础设施、语义基础和分析系统。
关于职位：
在这个职位上，你将领导开发可扩展、值得信赖的数据产品，以支持Affirm的收入团队。你将把模糊的业务和技术问题转化为可扩展的解决方案，涵盖数据建模、指标、仪表板、自动化、治理和AI支持。你将帮助确定收入数据层的技术方向，建立AI所需的语义和元数据基础，并提升整个收入组织中数据的质量和影响力。
你将负责：
- 领导对收入有重大影响的数据产品项目，从模糊的问题定义到技术设计、实施、推出和采用。
- 通过识别高价值的用例，将AI整合到分析工程工作流中，并建立AI所需的语言、元数据、上下文、质量和评估基础，推动收入数据生态中的AI项目。
- 设计并构建持久、经过充分测试的数据产品，支持收入运营、现场和高管报告、外部商户报告以及分析师自助服务。
- 在dbt模型、指标、语义结构、文档、血缘关系、测试、治理和访问控制方面，为收入数据层设定技术方向。
- 通过改进数据架构、工具、治理和赋能，识别简化、自动化和扩展收入分析的机会。
- 为分析师和跨职能合作伙伴提供技术领导力和指导，提高数据产品设计、构建和维护的标准。
我们寻找：
- 7年以上分析工程、商业智能、数据工程、数据产品开发或相关技术分析领域的经验。
- 精通SQL、dbt、数据建模、指标设计、数据质量、文档和现代分析工程实践。
- 熟悉BI工具如Sigma、Looker或Tableau，云数据仓库如Snowflake，以及现代数据平台如
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.
About the Team:
We’re looking for an experienced, highly independent analytics engineer to join our Revenue Analytics team. This team owns the data products, reporting infrastructure, semantic foundations, and analytical systems that support Affirm’s Revenue organization.
About the Role:
In this role, you will lead the development of scalable, trusted data products for Affirm’s revenue teams. You turn ambiguous business and technical problems into scalable solutions across data modeling, metrics, dashboards, automation, governance, and AI enablement. You will help set the technical direction for Revenue’s data layer, establish the semantic and metadata foundations required for AI, and raise the quality and impact of data across the Revenue organization.
What You’ll Do:
- Lead high-impact data product initiatives for Revenue, from ambiguous problem definition through technical design, implementation, rollout, and adoption.
- Advance AI initiatives within the Revenue data ecosystem by identifying high-value use cases, integrating AI into analytics engineering workflows, and establishing the semantic, metadata, context, quality, and evaluation foundations required for AI.
- Design and build durable, well-tested data products that power revenue operations, field and executive reporting, external merchant reporting, and analyst self-service.
- Set technical direction for Revenue’s data layer across dbt models, metrics, semantic structures, documentation, lineage, testing, governance, and access controls.
- Identify opportunities to simplify, automate, and scale Revenue Analytics through improved data architecture, tooling, governance, and enablement.
- Provide technical leadership and mentorship to analysts and cross-functional partners, raising the bar for how data products are designed, built, and maintained.
What We Look For:
- 7+ years of experience in analytics engineering, business intelligence, data engineering, data product development, or a related technical analytics role.
- Deep expertise in SQL, dbt, data modeling, metrics design, data quality, documentation, and modern analytics engineering practices.
- Strong working knowledge of BI tools such as Sigma, Looker, or Tableau, cloud data warehouses such as Snowflake, and modern data platforms such as Databricks.
- Strong understanding of the foundations required for reliable AI—including semantic layers, metadata, evaluations, documentation, lineage, access controls, and data quality—and experience applying AI tools within analytics engineering workflows.
- Demonstrated ability to independently lead complex, ambiguous projects by defining scope, sequencing work, managing tradeoffs, aligning stakeholders, and delivering durable technical solutions.
- Experience designing scalable data products for multiple audiences and influencing technical and non-technical stakeholders around architecture and product direction.
- Familiarity with Salesforce and experience supporting commercial, GTM, revenue, or sales operations teams.
Pay Grade - O
Equity Grade - 6
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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
CAN base pay range per year: $173,000 - $233,000
Please note that visa sponsorship is not available for this position.
#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.
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