Data
Data Analyst
Work out whether the campaign caused the result, or merely happened at the same time.
What you’d actually do
- Build client reporting that shows contribution, not just activity
- Set attribution windows against the real sales cycle rather than the platform default
- Feed cost of goods, returns and churn back into channel reporting so the numbers mean something
- Tell an account manager their favourite campaign isn't working
What we need from you
- SQL and spreadsheet fluency well beyond pivot tables
- Understanding of statistical significance, and the willingness to apply it to your own results
- Ability to explain a finding in one sentence before explaining the method
Helpful, not required
If you have most of “what we need” and none of these, apply. The list above is genuinely optional rather than a hidden requirement.
We hire when we meet the right person, not against a headcount plan. There’s no closing date and no advantage to applying in the first week.
How hiring works hereThe process
- A conversation — what you’ve built, what you want more of, what you’d rather never do again.
- A short practical exercise related to the real work. Paid where it takes real time; no week-long take-homes.
- A conversation with the people you’d work alongside — two-way, so you can interview us back.
Apply
Apply for Data Analyst
Send the work first. A repository, a portfolio, a campaign, or a written explanation of something you solved — that’s the part we read before anything else
Mention Data Analyst in the form. Form not loading? Email
ray@corunit.com
with a link to your work instead.
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