分析工程师
Analytics Engineer
关于Extend：
Extend正在通过提供人工智能驱动的解决方案，彻底改变零售商及其客户的售后体验，从而提升客户满意度并推动收入增长。我们的综合平台提供自动化客户服务处理、无缝的退换货管理、端到端的自动化履行，以及产品保护和运输保护，同时结合Extend一流的欺诈检测功能。通过将前沿技术与卓越的客户服务相结合，Extend使企业能够建立消费者的信任和忠诚度，同时降低成本并提高利润。
如今，Extend与跨行业的1000多家领先商户合作伙伴合作，包括时尚/服装、化妆品、家具、珠宝、消费电子、汽车零部件、体育和健身等。Extend得到了业内一些最著名的科技投资者的支持，我们的总部位于旧金山市中心。
关于该职位：
我们正在寻找一名数据分析工程师，以确保Extend财务和运营系统中的数据完整性。该架构为服务提供商和商户提供了对账、审计准备和支付准确性支持。这是一个跨职能的职位。您将与会计、运营、报告和工程团队合作，对齐内部和外部的财务数据，并在Snowflake和dbt中构建文档齐全、可靠的流程。这是一项以SQL和分析工程为核心的实际操作型工作，您将对所支持的对账流程拥有实际的主导权。
主要职责：
数据管道开发。您将在Snowflake和dbt中构建和维护数据管道，以支持内部和外部系统的可靠、可审计的对账。
索赔报销与合同销售负责。您将负责并改进与索赔报销和合同销售相关的数据流程，确保准确的财务跟踪和与合作伙伴的对账。
跨职能合作。您将与会计、工程、运营和报告团队密切合作，对齐和对账内部和外部的财务数据，作为技术和非技术团队之间的连接纽带。
数据质量和审计准备。您将确保系统间的数据完整性，并通过文档齐全、可追溯的数据实践支持内部和外部审计。
集成与API。您将使用Thunderclient和Postman等工具与第三方系统进行接口对接。
查看英文原文
About Extend:
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
About the Role:
We're looking for an Analytics Engineer to help ensure data integrity across Extend's financial and operational systems. This architecture powers reconciliation, audit readiness, and payment accuracy for the Servicers and Merchants we work with. This is a cross-functional role. You'll partner with Accounting, Operations, Reporting, and Engineering to align internal and external financial data, and build well-documented, reliable pipelines in Snowflake and dbt. It's a hands-on role anchored in SQL and analytics engineering, with real ownership over the reconciliation workflows you support.
Key Responsibilities:
Data Pipeline Development. You build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems.
Claim Reimbursement & Contract Sales Ownership. You own and improve the data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
Cross-Functional Partnership. You work closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data, acting as a connective link between technical and non-technical teams.
Data Quality & Audit Readiness. You ensure data integrity across systems and support internal and external audits through well-documented, traceable data practices.
Integrations & APIs. You use tools like Thunderclient and Postman to interface with production systems, and help enhance integrations with Service Providers and Merchants to improve the timeliness and accuracy of claim expense reporting and payments.
Issue Investigation & Process Improvement. You identify, investigate, and fix data quality issues, recommending process improvements to reduce errors and manual intervention, and help extend our data quality standards and operational analytics practices.
Qualifications:
- 2-4 years of experience as an Analytics Engineer, Data Engineer, or in a similar role focused on operational data systems.
- Strong SQL skills and hands-on experience with Snowflake and dbt.
- Proficiency with API interaction and tools like Thunderclient or Postman.
- Familiarity with reconciliation, financial audit preparation, and cross-system data integrity best practices.
- Excellent communication skills and a collaborative approach to working across technical and non-technical teams.
- Strong problem-solving mindset and the ability to proactively identify and address data inconsistencies.
- Experience in a fast-paced startup or cross-functional environment is a plus.
- Bonus: experience working with claims, reimbursements, or financial data operations.
Expected Pay Range: $138,750 - $161,250 per year salaried*
* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills, and experience.
Life at Extend:
- Working with a great team from diverse backgrounds in a collaborative and supportive environment.
- Competitive salary based on experience, with full medical and dental & vision benefits.
- Stock in an early-stage startup growing quickly.
- Generous, flexible paid time off policy.
- 401(k) with Financial Guidance from Morgan Stanley.
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