About the role

We have Google Ads data, Meta data, GA4, call tracking and a dozen different client CRMs, and most of it never gets joined up. You will own reporting infrastructure across the portfolio and, more importantly, be the person who notices the thing nobody asked about.

What you will actually do

Build and maintain Looker Studio dashboards clients actually open
Join ad platform data to CRM outcomes so we report on patients, not leads
Write SQL against BigQuery for anything the UI cannot answer
Build cohort and LTV analysis by treatment type and clinic
Flag accounts drifting the wrong way before the account manager notices
Kill metrics that nobody uses, which is most of them

What we need from you

SQL you write daily, not SQL you once did a course in
Looker Studio or Power BI to a real standard
GA4 including the BigQuery export schema
You can tell the difference between a real signal and noise in a small sample
You explain findings in a sentence before you show the chart

Nice to have

Python for analysis
Google Ads API or Meta API
dbt or similar
Healthcare or subscription-business analytics

How this application works

Upload your CV, then answer 6 questions written specifically for this role. They are not personality questions. They are the kind of problems you would be handling here in week one.

There is no time limit and you can take as long as you want. We would rather read four considered answers than twelve rushed ones. Applications without answers are not reviewed.

Application

Apply for Data Analyst

1 Your details & CV

2 Questions

Full name

WhatsApp number

LinkedIn or portfolio (optional)

Your CV (PDF, DOC or DOCX, max 5MB)

Notice period

UAE work status

Answers written by AI will be automatically refused

We read every answer and we can tell. If your answers are AI generated your application is rejected on the spot and you will not be considered for any future role here. We would genuinely rather read a short, rough, honest answer in your own words than a polished one that is not yours.

No time limit. These are the real problems this role deals with. Answer them the way you would actually think about them. Bullet points are fine, typos are fine.

1 An account manager says one clinic account "had a great month, conversions up 34 percent". You look and spend is up 41 percent. Write the two or three sentences you would send back, and say what you would check before sending it.

0 / 800

2 A clinic runs Google Ads and Meta. Google reports 180 conversions, Meta reports 210, the CRM shows 260 total enquiries. Explain why summing the platforms gives 390 and what you would actually report to the client.

0 / 700

3 Clinic A: 120 leads, 22 percent book, average value AED 3,100, spend AED 44,000. Clinic B: 340 leads, 9 percent book, average value AED 1,450, spend AED 39,000. Which clinic has the higher return on ad spend? Answer A or B.

4 A dashboard you built is opened twice a month by one person. What do you do about it, and what does that tell you about how you built it?

0 / 600

5 What is the current trend in analytics and measurement that you think is genuinely useful, and one that you think is mostly hype? Be specific.

0 / 600

6 You find something in the data that suggests one of our own accounts has been underperforming for two months and nobody caught it. What do you do?

0 / 500

I confirm these answers are my own work and were not generated by AI.

We reply to every application, including the ones we turn down.