前方部署分析工程师
Forward Deployed Analytics Engineer
Improvado 是一个由人工智能驱动的营销数据平台，专为中型市场和企业团队打造。我们帮助公司自动化复杂的营销数据工作流，大规模统一数据，并通过商业智能和人工智能揭示洞察。ASUS、Docker、Activision 和 H&R Block 等品牌依赖我们简化分析并提升营销表现。我们是一家快速增长的 A 轮融资初创公司，获得 3400 万美元资金支持，由一支行动迅速、保持好奇、注重高质量执行的团队推动。
职位简介
你加入客户的营销数据问题，并一直跟进直到其在生产环境中运行。一个月可能是需要每天将验证文件交付给代理机构的制药品牌，下一个月可能是希望获得可辩护的归因的 DTC 品牌，或者是一个使用单一模型运行四十个客户仪表板的代理机构。你负责三到六个客户的全流程：从发现通话、数据模型、数据流水线、仪表板到交接。Claude Code 是你的搭档，而不是一个待办事项。
你将负责
- 每周与客户通话，并将听到的内容转化为有明确范围的开发计划并设定日期。
- 设计和维护模型：在 ClickHouse、BigQuery 或 Snowflake 上使用 SQL 和 dbt，确保随着数据源变化保持正确。
- 在平台不覆盖的情况下用 Temporal 编写 Python 流水线：SFTP 数据流、验证规则、自定义连接、审计邮件。
- 在客户已使用的 Looker、Power BI 或 Tableau 中交付仪表板。
- 在客户看到之前进行自我质量检查。将平台缺陷反馈给产品团队，并提供可复现的案例。
你适合这个岗位如果
- 你有 3 年以上为团队外人员交付数据工作的经验：如代理机构、咨询公司、专业服务部门，或具有内部客户的内部分析团队。
- SQL 是你的第一语言，Python 是你熟悉的第二语言。
- 你曾实际使用过 Claude Code、Codex 或 Cursor，并能指出它们的不足。
- 你能同时与营销总监和数据工程师通话，并在同一个小时内让双方都做出决定。
- 英语达到 C1 级或更高。
加分项
· 广告平台、GA4 或 CRM 数据。dbt 在生产环境中的使用。MMM 或归因。Temporal 或 Airflow。
我们提供
- 远程优先的工作环境
- 医疗和牙科福利
- 401(k) 计划
- 带薪休假和美国节假日
- 职业发展报销
最初发布于 Himalayas
查看英文原文
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
About the role
You join a customer's marketing data problem and stay until it runs in production. One month it's a pharma brand that needs validated files delivered to its agency every night. The next it's a DTC brand that wants attribution it can defend, or an agency running forty client dashboards on one model. You own three to six accounts end to end: the discovery calls, the data model, the pipeline, the dashboard, the handoff. Claude Code is your pair, not a checkbox.
What you'll do
- Run weekly customer calls and turn what you hear into a scoped build with dates.
- Design and maintain the models: SQL and dbt on ClickHouse, BigQuery or Snowflake, kept correct as sources change.
- Write Python pipelines on Temporal when the platform doesn't cover the case: SFTP feeds, validation rules, custom joins, audit emails.
- Ship dashboards in Looker, Power BI or Tableau, whichever the customer already runs.
- QA your own delivery before the customer sees it. Send platform gaps back to Product with a reproducible case.
You'll fit if
- You have 3+ years shipping data work for people outside your own team: an agency, a consultancy, professional services, or an in-house analytics team with internal customers.
- SQL is your first language and Python a comfortable second.
- You've used Claude Code, Codex or Cursor for real work and can say where they go wrong.
- You can hold a call with a marketing director and a data engineer in the same hour and both leave with a decision.
- English C1 or better.
Helps
· Ad-platform, GA4 or CRM data. dbt in production. MMM or attribution. Temporal or Airflow.
What we offer
- Remote-first environment
- Medical and dental benefits
- 401(k) plan
- Paid time off and US holidays
- Professional development reimbursement
Originally posted on Himalayas