全栈营销数据分析师
Full-Stack Marketing Data Analyst
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驱动
关于职位
全栈意味着你不需要交接。你连接数据源，建模数据，转换数据，构建仪表盘，并向付费客户解释数据，同时处理三到六个企业账户。如果你曾是同时担任分析师、分析工程师和客户负责人的人，并且喜欢这种角色，那么这就是一份有平台和人工智能工具支持的工作
你会做什么
- 负责每个账户的全流程：数据源连接、ClickHouse 和 dbt 模型、质量检查、仪表盘、每周客户会议
- 每天编写 SQL，当需要转换或交付时使用 Python
- 在 Looker、Power BI 或 Tableau 中构建报告及底层模型，确保数据经得起财务审查
- 在客户发现之前找出数据中的问题，并明确指出
- 使用 Claude Code 提高效率并更严格地检查其工作成果
你适合这个职位如果
- 具有 3 年以上营销分析师、数据分析师、BI 开发者或分析工程师经验，有需要维护的客户，无论是内部还是外部
- 精通 SQL，熟练使用 Python，至少精通一种 BI 工具
- 曾同时处理多个营销数据源（广告平台、GA4、CRM），或能展示在其他复杂多源领域中的类似经验
- 英语达到 C1 级或更高。你能独立展示自己的工作成果
有帮助的条件
· 在生产环境中使用 dbt。归因分析或 MMM。有代理背景
我们提供的福利
- 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
- 职业发展费用报销
- 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
Full-stack means you don't hand off. You connect the sources, model the data, transform it, build the dashboard and explain the numbers to the customer who paid for them, on three to six enterprise accounts at a time. If you've been the analyst who also had to be the analytics engineer and the account lead, and you liked it, this is that job with a platform and AI tooling behind you.
What you'll do
- Own the chain for every account: source connection, ClickHouse and dbt model, QA, dashboard, weekly customer call.
- Write SQL every day, and Python when a transformation or a delivery needs code.
- Build reporting in Looker, Power BI or Tableau, and the model under it, so the numbers survive a finance review.
- Find what's off in the data before the customer does, and say so plainly.
- Use Claude Code to move faster and check its work harder.
You'll fit if
- You have 3+ years as a marketing analyst, data analyst, BI developer or analytics engineer, with customers you had to keep, external or internal.
- Expert SQL, working Python, one BI tool at expert level.
- You've worked with several marketing sources at once (ad platforms, GA4, CRM), or can show the same with another messy multi-source domain.
- English C1 or better. You present your own work.
Helps
· dbt in production. Attribution or MMM. Agency background.
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