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Data Analyst

Puffy
, UAE
Mid-Senior
AED 20,000 - 25,000/month
SQLPythonR ProgrammingData VisualizationStatistical AnalysisMachine Learning
Free

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Overview

Join the pioneer tribe.

AI-First since December 2023.

Data Analyst (A And B Testing & Experimentation)

  • Total Annual Package: Up to AED 348,000 (Tax-Free) +
  • comprehensive benefits
  • Base: AED 20,000 – 25,000/month (AED 240,000 – 300,000/year)
  • Performance bonus: up to 10% of base, paid monthly

Location

Dubai, UAE (On-site) with relocation assistance and visa support

About The Role

If you spend your days running A/B tests, analyzing conversion funnels, and digging into why users drop off before checkout — and you write your own SQL and Python to get those answers — this role is built for you.

General analysts and program managers without hands-on technical and experimentation skills won't be a fit.

You'll own Puffy's experimentation program from hypothesis to business recommendation.

You pull data from Shopify, GA4, Google Ads, and BigQuery yourself.

You design the test, run the statistical analysis, and tell the business what to change and why.

Every recommendation you deliver has to be clear enough that marketing, UX, and development can act on it the same week.

The Career Accelerator

Puffy runs a high volume of experiments across a $1B+ e-commerce platform.

You'll be involved in more A/B tests, conversion analyses, and data pipeline builds in your first year than most analysts see in three.

You'll work across departments — marketing, UX, development, operations — which means broader context and faster pattern recognition.

The pace is demanding, and it rewards people who are genuinely curious and want to sharpen their craft quickly.

What Is In It For You

This isn't just another analytics role.

This is your chance to become a true industry architect.

1.

Own the Full Experimentation Cycle — Not Just the Dashboard.

Most data analysts inherit someone else's reporting setup and maintain it.

Here, you own hypothesis generation, test design, statistical analysis, and the business recommendation that follows.

You build your own pipelines across Shopify, GA4, Google Ads, and BigQuery — no waiting in a queue for data, no presenting metrics without a point of view.

You still report to the manager, but the experimentation output is yours to drive.

Within 12 months, you'll have more hands-on testing reps than analysts accumulate in three years elsewhere.

2.

Join the Elite Organization and Partner with the 1%:

1. 🏆 Top 5 Mattress Brand in the USA with Over $1 Billion USD in Sales

2. 🌍 Great Place to Work Certified

3. 💡 Work with Forbes Council Member CEO Gain firsthand exposure to strategic decisions and high-velocity execution that drives a global brand.

3.

Experience a World-Class Lifestyle.

Dubai offers a tax-free salary, world-class infrastructure, year-round sunshine, and a global lifestyle that most professionals only experience later in their careers.

Your entire compensation package lands in your account — no deductions, no surprises.

4.

Become the Person Who Knows Why Things Convert.

In most companies, analysts report numbers.

Here, you're the person who tells the business what to change and why.

When a test wins or loses, your analysis is the reason leadership moves.

You'll build the instinct to separate signal from noise across segments, devices, and traffic sources — and the communication skills to make non-technical stakeholders act on what you find.

What You'Ll Need

1. 3+ years in data analysis, experimentation, or CRO within e-commerce, D2C, or any high-traffic transactional website (fintech, marketplaces, SaaS, banking)

2.

Strong SQL — complex joins, window functions, CTEs across large datasets without relying on pre-built dashboards

3.

Working Python (or R) for data manipulation, statistical analysis, and automation

4.

Proven A/B testing experience — hypothesis design through statistical analysis to business recommendation; solid grasp of sample sizing, significance thresholds, and common pitfalls

5.

Hands-on GA4 experience — event-based tracking, custom explorations, and the ability to tie GA4 data to other sources

6.

Experience integrating ad platform data (Google Ads, Meta) with site analytics to see the full acquisition-to-conversion funnel

7.

Ability to independently connect to and pull from multiple data sources (APIs, warehouses, flat files) without engineering support

8.

Sharp analytical communication — complex findings distilled into concise recommendations for non-technical stakeholders

9.

Proactive and curious — you spot testing opportunities and chase root causes before anyone asks

Good-To-Have

1.

Experience with BigQuery or AWS data warehousing, including scheduled queries and data modeling

2.

Familiarity with session replay and heatmap tools (FullStory, Hotjar) for qualitative behavioral analysis

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