Data Person

Hex - San Francisco - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Full-time
Salary
Not stated
Categories
Engineering
Tech
data
Source
hex
First observed
2026-09-01 17:39 UTC
Last seen
2026-09-01 17:39 UTC
Source claims posted
2026-08-31 19:51 UTC
Consecutive misses
0 of 3

What the posting says

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, how we are evolving our own workflows post-AI, and the ways we use Hex here at Hex.

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.

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 band for this role is: $153,375 - $204,500.

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.

Quality

Completeness: 45%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #505974 2026-09-01 17:39 UTC
    Published