Data Analyst

Puffy; Dubai; On-site; AED 150,000 - 200,000; Full time

Job summary

Puffy in Dubai is looking for a Senior Experimentation Analyst responsible for analyzing A/B tests and developing actionable insights for the organization. The role requires strong SQL skills, proficiency in Python, and experience in e-commerce environments.

The ideal candidate will work closely with various teams, build data pipelines, and have a proactive approach to spotting testing opportunities. If you have 3+ years in relevant fields and excellent communication skills, we want to hear from you!

Qualifications

• 3+ years in data analysis, experimentation, or CRO.
• Strong SQL skills with large datasets.
• Experience with A/B testing and GA4.

Responsibilities

• Analyze A/B tests to make data-driven decisions.
• Map user journeys to identify friction points.
• Build and maintain data pipelines across platforms.

Skills

Data analysis

SQL

Python

A/B testing

GA4

Data integration

Communication

Tools

BigQuery

Looker

Tableau

Job description

Senior Experimentation Analyst

Own high‑stakes tests end‑to‑end, building and maintaining analytics pipelines that support the entire organization.

Key Collaborators

Work closely with the Analytics team, Senior Management, Digital Marketing, CRO, Development, QA, Finance, and Customer Support.

Key Responsibilities

• Analyze A/B tests from hypothesis through statistical analysis to decision‑ready recommendations.
• Map user journeys across devices and traffic sources to identify friction points and conversion leaks.
• Build and maintain data pipelines across Shopify, GA4, Google Ads and BigQuery, ensuring timely access to data.
• Contribute to a structured hypothesis pipeline: prioritize by impact, write clear test briefs, define success criteria, and push proposals to execution.
• Orchestrate AI workflows using SQL and Python to accelerate analysis, validation, and scaling of outputs.
• Collaborate with marketing, UX, and development to translate findings into site changes, campaign adjustments, and creative decisions.

Qualifications

• 3+ years in data analysis, experimentation, or CRO within e-commerce, D2C, or high‑traffic transactional sites.
• Strong SQL: complex joins, window functions, CTEs on large datasets.
• Working knowledge of Python (or R) for data manipulation, statistical analysis, and automation.
• Proven A/B testing experience: hypothesis design, sample sizing, significance thresholds, and business recommendation.
• Hands‑on GA4 experience: event‑based tracking, custom explorations, and data integration.
• Experience integrating ad platform data (Google Ads, Meta) with site analytics for full funnel view.
• Ability to pull from multiple data sources (APIs, warehouses, flat files) independently.
• Excellent communication: distill complex findings into concise recommendations.
• Proactive curiosity, spotting testing opportunities and root causes before they arise.
• Good‑to‑have: experience with BigQuery or AWS data warehousing, session replay/heatmap tools, and dashboarding tools such as Looker or Tableau.