Data Analyst

Puffy is hiring a Data Analyst to own its experimentation program and turn customer and acquisition data into recommendations for business teams. The role covers experiment design and analysis, funnel diagnosis, and building and maintaining data pipelines across e-commerce and marketing platforms.

Responsibilities:

• Turn test results into growth decisions: Experiment results need to explain what worked, what did not and why across devices, traffic sources and customer-journey steps. The challenge is separating meaningful findings from noise and turning them into recommendations that Marketing, UX and Development can act on
• Connect the evidence without slowing decisions: The acquisition-to-conversion picture spans Shopify, GA4, Google Ads, Meta and BigQuery. Independent analysis depends on connected source data and validated outputs rather than pre-built dashboards alone. The challenge is keeping that evidence usable and reliable as analytical output scales
• Analyze A/B tests end to end, explaining what worked, what did not and why
• 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 journeys across devices and traffic sources to identify friction and conversion leaks
• Connect Google Ads and Meta data to the acquisition-to-conversion funnel
• Use SQL and Python against raw event data to investigate performance by segment, device, source and journey step
• Build and maintain pipelines across Shopify, GA4, Google Ads and BigQuery without waiting on another team for your data
• Direct and validate agentic AI workflows to scale your analytical output
• Contribute early and deliver recommendations the business can act on the same week
• Shape how experimentation informs growth decisions at Puffy
• You design the test, pull the data and own the analytical recommendation
• You map customer journeys, investigate performance in SQL and Python, and connect Google Ads and Meta data to on-site behavior. You build and maintain your own pipelines across Shopify, GA4, Google Ads and BigQuery without waiting on another team for the data you need
• You design hypotheses, define success criteria and sample sizes, analyze A/B tests and translate findings into usable recommendations. You direct and validate agentic AI workflows, reporting directly to the Analytics Manager and collaborating with Marketing, UX and Development

Requirements:

• 3+ years in data analysis, experimentation, or CRO within e-commerce, D2C, or any high-traffic transactional website (fintech, marketplaces, SaaS, banking)
• Strong SQL - complex joins, window functions, 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 - hypothesis design through statistical analysis to business recommendation; solid grasp of sample sizing, significance thresholds, and common pitfalls
• Hands-on GA4 experience - event-based tracking, custom explorations, and the ability to tie GA4 data to other sources
• Experience integrating ad platform data (Google Ads, Meta) with site analytics to see the full acquisition-to-conversion funnel
• Ability to independently connect to and pull from multiple data sources (APIs, warehouses, flat files) without engineering support
• Sharp analytical communication - complex findings distilled into concise recommendations for non-technical stakeholders
• Proactive and curious - you spot testing opportunities and chase root causes before anyone asks
• Experience with BigQuery or AWS data warehousing, including scheduled queries and data modeling
• Familiarity with session replay and heatmap tools (FullStory, Hotjar) for qualitative behavioral analysis
• Background in Looker, Tableau, or similar dashboarding tools