Data Analyst
Role Overview
Own Puffy's experimentation program, spanning test design, statistical analysis, funnel diagnosis, and data pipelines; report to the Analytics Manager.
Turn customer and acquisition data into recommendations that Marketing, UX, and Development can act on quickly.
The advertised location is remote globally; working from the Dubai headquarters is an optional alternative.
Key Skills for This Role
Full Job Posting
Role overview
Own Puffy's experimentation program, spanning test design, statistical analysis, funnel diagnosis, and data pipelines; report to the Analytics Manager.
Turn customer and acquisition data into recommendations that Marketing, UX, and Development can act on quickly.
The advertised location is remote globally; working from the Dubai headquarters is an optional alternative.
Role responsibilities
- Analyze A/B tests end to end and explain results across devices, traffic sources, and customer-journey steps.
- Prioritize hypotheses by impact and define test briefs, success criteria, and sample sizes upfront.
- Turn findings into site changes, campaign adjustments, and creative decisions with Marketing, UX, and Development.
- Map customer journeys and identify friction and conversion leaks.
- Use SQL and Python on raw event data to investigate performance by segment, device, source, and journey step.
- Connect Google Ads and Meta data to on-site behavior and the acquisition-to-conversion funnel.
- Build and maintain pipelines across Shopify, GA4, Google Ads, and BigQuery without waiting on another team for data.
- Direct and validate agentic AI workflows; remain accountable for findings and recommendations.
What you'll need
- 3+ years in data analysis, experimentation, or CRO within e-commerce, D2C, or another high-traffic transactional website.
- Strong SQL, including complex joins, window functions, and CTEs across large datasets without relying on pre-built dashboards.
- Working Python or R for data manipulation, statistical analysis, and automation.
- Proven A/B testing experience from hypothesis design through statistical analysis and business recommendation; understand sample sizing, significance thresholds, and common pitfalls.
- Hands-on GA4 experience with event-based tracking, custom explorations, and data connections.
- Experience integrating Google Ads and Meta data with site analytics; independently pull from APIs, warehouses, or flat files.
- Communicate complex findings as concise recommendations for non-technical stakeholders.
- Be willing to work extended hours and weekends as needed.
Good to have
- BigQuery or AWS data warehousing experience, including scheduled queries and data modeling.
- Familiarity with FullStory, Hotjar, or similar session replay and heatmap tools.
- Background in Looker, Tableau, or similar dashboarding tools.
Compensation
- Total annual package is up to USD $118,750 plus benefits; this includes base salary and a monthly performance bonus of up to 25% of base.
- Annual salary review every January.
Work environment
- Remote-first work from anywhere globally with meaningful time-zone overlap; the Dubai headquarters is an optional work location.
- Company-provided AI tools and specialist resources are available to support the work.
Benefits
- Comprehensive medical, dental, and vision insurance based on country of hire.
- Paid time off and public holidays.
- Learning and development opportunities and eligibility for recognition programs.
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