Data analyst for e-commerce

Puffy; United States; Remote; USD 107,000 - 131,000; Full time

Benefits offered by this job

Remote-first

Competitive compensation

Health insurance

Learning & development

AI-native tools

Job summary

Puffy — ведущий D2C бренд в США с оборотом свыше миллиарда долларов — ищет Аналитика данных, который возьмет на себя программу экспериментации: проектирование тестов, статистический анализ, диагностику воронки и конвейеры данных. Вы будете работать напрямую с Analytics Manager.

Вы будете анализировать A/B тесты, подбирать гипотезы, описывать критерии успеха и масштабы выборки, а затем превращать выводы в изменения на сайте, в кампаниях и креативах вместе с маркетингом, UX и разработкой.

Qualifications

• 3+ года аналитики данных, экспериментирования или CRO в электронной торговле.
• Продвинутый SQL: сложные соединения, оконные функции, CTE.
• Опыт Python (или R) для манипуляций с данными и статистики.
• Умение работать с GA4 и связывать данные с источниками.
• Способность общаться сложные выводы простым языком.

Responsibilities

• Анализ A/B тестов от дизайна до внедрения.
• Приоритизация гипотез по воздействию и определение критериев успеха и выборки.
• Преобразование выводов в изменения на сайте и кампании вместе с Marketing, UX и Development.
• Картирование путей пользователей по устройствам и источникам.
• Связь GA4, Google Ads и BigQuery в полноценноую воронку Acquisition—Conversion.
• Построение и поддержка пайплайнов через Shopify, GA4, Google Ads и BigQuery.
• Развитие и использование AI‑рабочих процессов для масштабирования аналитики.

Skills

SQL

Python

A/B testing

Data analysis

Experiment design

Tools

BigQuery

GA4

Tableau

Looker

Job description

Описание:

Puffy, a market-leading, nine-figure D2C brand and Top 5 US mattress brand with over $1Billion in sales, is hiring a Data Analyst to own its experimentation program, covering test design, statistical analysis, funnel diagnosis and data pipelines, reporting directly to the Analytics Manager.

Задачи:

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.

Требования:

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. Must be willing to work extended hours and weekends as needed Будет плюсом: 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

Условия:

• Total Annual Package: Up to USD $118,750 + comprehensive benefits (Base salary + monthly performance bonus of up to 25% of base)
• Annual salary review every January
• Comprehensive medical, dental, and vision insurance (based on country of hire)
• Generous Paid Time Off (PTO) + Public holidays
• AI-First organization with access to AI-native tool stack
• Remote First: Work from the comfort of your home office
• Learning & development opportunities
• International team collaboration across 16+ nationalities. Your assumptions get challenged daily.
• Eligibility for selection to the Leaders Club, an elite recognition program featuring premium wellness memberships, exclusive networking with senior leadership, and annual leadership retreats
• Eligibility for nomination as 'We Are' Champion of the Month, monthly recognition with gift vouchers and company‑wide celebration for exceptional contributions