数据人员
Data Person
关于Hex
Hex正在组建一支由建设者组成的团队，致力于让每个人都能成为数据专家。我们的平台解决了当今数据和分析工具中的关键痛点，使任何人都能通过自然语言探索数据，无需编码或在有代码的情况下，在可信的上下文中进行操作。Ramp、Figma、Stubhub、Anthropic和Gamma等数千家客户喜欢Hex，因为其美观的用户界面、代理超级功能以及无限的灵活性。https://www.g2.com/products/hex-tech-hex/reviews
Hex已从Sequoia、a16z、Snowflake和Amplify等领先投资者处筹集了超过1亿美元。我们在旧金山和纽约设有办公中心，同时在美国和英国还有远程员工。我们是一支高自主性的团队，快速交付并享受工作过程。观看我们的Hex入门视频https://www.youtube.com/watch?v=qAXsnrNlavk和员工手册https://www.notion.so/hexhq/Hex-Handbook-9fff0d42860e4f70815c599e0d1664d6，了解更多关于在Hex工作的内容。
关于该职位
Hex的数据团队正在塑造数据职业的未来。我们通过塑造Hex产品的未来，以及在公司内部实现最佳的操作和决策，推动分析工具和最佳实践的前沿。
请注意，这是一个全栈数据职位，需要同时进行数据分析和使用dbt进行数据建模。我们不要求你在这两个方面都是专家，无论你在哪个背景上更强都可以。你应该对弥补自己实践经验较少的领域感兴趣，并且擅长利用AI来补充现有的技能集。
日常工作中，你将引领思考数据团队在人工智能时代如何运作，并加速Hex将这一未来带给全球的数据团队。你将特别专注于与我们的增长和变现团队合作，帮助我们优化定价和包装，尝试新的方式展示产品在试用期的价值，并为你的同事提供数据和洞察，使Hex变得易于采用。
你可以在我们的博客上阅读有关Hex数据工作的文章，包括我们对数据角色的思考https://hex.tech/blog/data-teams-in-ai-era/，我们后AI时代的流程演变https://hex.tech/blog/automated-data-validation/，以及我们在这里使用Hex的方式https://hex.tech/blog/account-360-to-threads/。
你将负责：
- 与增长和变现团队合作，帮助我们优化定价和包装
- 实验新的方式来展示产品在试用期的价值
- 为同事提供数据和洞察，使Hex变得易于采用
- 推动数据团队在人工智能时代的运作方式
- 加速Hex将这一未来带给全球的数据团队
- 分析和建模数据，使用dbt
- 对自己实践经验较少的领域感兴趣，并能够利用AI来补充现有技能
查看英文原文
ABOUT HEX
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp https://hex.tech/customers/ramp/, Figma https://hex.tech/customers/figma/, Stubhub https://hex.tech/customers/stubhub/, Anthropic, and Gamma love Hex https://www.g2.com/products/hex-tech-hex/reviews for our beautiful UI, agentic superpowers, and boundless flexibility.
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we’re a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video https://www.youtube.com/watch?v=qAXsnrNlavk and employee handbook https://www.notion.so/hexhq/Hex-Handbook-9fff0d42860e4f70815c599e0d1664d6 to learn more about what it’s like to work at Hex.
ABOUT THE ROLE
Hex’s Data team is shaping the future of the data profession. We push the frontier of analytics tooling and best practices by shaping the future of the Hex product, as well as enabling best-in-class operations and decision making within the company.
Note that this is a full stack data role, which will require both data analysis and modeling data in dbt. We are not expecting you to be an expert in both, and being stronger in either background is fine by us. You should be interested in shoring up whichever you have less practice with and be adept in using AI to supplement your existing skillset.
On a daily basis, you’ll lead the way on thinking about how data teams operate in the AI era, as well as accelerate our Hex’s ability to bring that future to data teams everywhere. You’ll specifically focus on partnering with our Growth and Monetization team to help us evolve our pricing and packaging, experiment with new ways of showing the value of our product in trials, and arm your colleagues with data and insights that make Hex feel like a no-brainer to adopt.
You can read posts about data work at Hex on our blog, including how we think about data roles https://hex.tech/blog/data-teams-in-ai-era/, how we are evolving our own workflows post-AI https://hex.tech/blog/automated-data-validation/, and the ways we use Hex here at Hex https://hex.tech/blog/account-360-to-threads/.
WHAT YOU WILL DO:
- Conduct analysis on what makes for a successful sales POC or self-service trial of our product
- Partner with a cross-functional growth squad to improve our product-led-sales strategy
- Help us evaluate and evolve our approach to monetization alongside our rapidly evolving product
- Continuously test and adopt new tools and workflows in Hex and beyond, share your feedback with our product teams, and help train teammates on how to use Hex effectively as a data workspace
ABOUT YOU:
Experiences and skills you have include:
- 8+ years of experience as a data analyst, analytics engineer or data scientist, or equivalent years working in a highly analytical role regardless of title
- A track record of working to maximize business impact by navigating ambiguity and focusing on unblocking the functions you support
- Curiosity about new technologies and a willingness to experiment with tools and workflows to improve how teams work with data
- A drive for quality, simplicity, and maintainability in your work
- Strong agent management skills, knowledge of SQL and dbt, and experience maintaining data warehouses and ELT pipelines
These experiences are not required, but will help you stand out as an applicant:
- Previous experience working at a sales-driven B2B company, especially with one with a high-touch sales motion
- Experience exploring or implementing emerging tools or methods in the data ecosystem (e.g. AI-assisted tooling, novel dbt workflows)
- A passion for community—whether that means contributing to internal documentation, mentoring teammates, or sharing how you work externally
This role is based in the U.S.
The salary band for this role is: $153,375 - $204,500.
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.