高级解决方案工程师，营销分析
Senior Solutions Engineer, Marketing Analytics
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。
职位简介
高级解决方案工程师的主要职责是帮助客户从营销数据中最大化价值。你将负责所分配客户的全流程交付——从数据建模到最终报告。你将设计和维护跨商业智能平台的仪表盘，确保数据质量，并提供清晰、可操作的报告。该职位还涉及在 dbt 中管理数据转换，并与复杂、多源的数据架构协作。你将利用人工智能工具（如 Codex、Claude）来加速你的工作流程。
我们寻找一位可靠、有责任感、注重质量、信守承诺、对自己的工作有主人翁意识，并能自信地向客户展示成果的人。
职责
- 根据客户配置，在 Looker、Power BI 和 Tableau 上构建和维护仪表盘和报告。
- 编写、优化和排查 SQL 查询用于报告、分析和调查。
- 在必要时管理和增强 dbt 中的数据转换。
- 直接支持客户——理解他们的需求，将其转化为数据解决方案，并提供清晰的洞察。
- 进行 QA/UAT 以确保数据准确性、一致性和可信度。
- 使用 Git 进行版本控制和协作。
- 主动识别营销数据中的机会、趋势或风险，并清晰传达发现。
- 利用人工智能工具，使自己的效率比普通分析师提高十倍。
- 必备资格
- 3 年以上作为营销数据分析师的经验
- 至少精通一个商业智能平台（Looker、Power BI 或 Tableau），能够完成所有平台的项目交付
- 熟练使用 SQL
- 熟悉数据建模（dbt 优先）
- 精通 Google Analytics（高级水平，用于业务理解）
- 有 Git 使用经验
- 英语 C1 水平，具备优秀的书面和口头沟通能力（面向客户的工作）
- 强大的分析能力，积极的问题解决能力和高度专注力
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
The Senior Solutions Engineer's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.
We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.
Responsibilities
- Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
- Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
- Manage and enhance data transformations with dbt where necessary.
- Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
- Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
- Use Git for version control and collaboration.
- Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
- Leverage AI tools to be 10x more productive than the average analyst.
Must Have Qualifications
- 3+ years of experience as Data Analyst with marketing data
- Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
- Proficiency in SQL
- Proficiency in data modelling (dbt preferred)
- Knowledge of Google Analytics (advanced level, for business understanding)
- Experience with Git
- English C1 level with excellent written and verbal communication (client-facing role)
- Strong analytical skills, proactive problem-solving, and high attention to detail
- Comfortable with ambiguity and able to drive clarity with clients and internal teams
- Hands-on experience with QA/UAT processes
- Proficiency with AI tools and ability to learn new ways of working is essential
Nice to Have
- Knowledge of Google Analytics Data Streams.
- Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.).
- Understanding of Marketing Mix Modeling (MMM) concepts.
- Prior experience in marketing agency.
What We Offer
- Remote-first environment.
- Competitive base salary.
- Stock options.
- Medical, and dental benefits.
- 401K plan.
- Unlimited PTO.
- 13 paid holidays.
- Professional development reimbursement.
Originally posted on Himalayas