# [Senior/Mid/Junior] data analyst · [city] or hybrid

We are hiring our [Nth] data analyst. You will be the person our [CMO/CFO/COO] calls before deciding. The team is [N] analysts and [N] analytics engineers. We run on [warehouse and modelling stack]. [Where analyses get read].

## You will be good here if

- You can take a vague stakeholder ask and send back a sharper question before opening the laptop.
- You have told a leader "the data does not say that" and made the conversation better.
- [The third trait you actually care about].

## What you will not get

A dashboard factory. We retire dashboards that nobody opens. We will ask you to delete more than you build in the first quarter.

## Compensation

[Currency][low] to [high] base. [low] to [high] percent equity. We post the band because we mean it.

## How we hire

30-second post, screen + assessment via Picked, 20-min interview via Picked, one on-site half-day with the team plus a live analysis walk-through. We aim to give a yes or no in 7 days.

## What is the rubric

Question-shaping, numerical judgement, comms with non-analysts, honesty about uncertainty, curiosity. Not the count of dashboards on your last CV.

That is the JD. Apply via [link] or just send a paragraph about the last dashboard you killed and why.

[Your name], [your title]