Data Analyst, Puffy

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Job Description

Puffy is recruiting for the Data Analyst position in Dubai who will be experimenting and making decisions based on the results gathered on a $1B+ e-commerce platform. The job involves conducting an analysis of A/B tests, conversion funnels, and customer journeys to discover issues that arise within the mentioned topics and learn how to solve them. The important factors of the job involve the use of SQL, Python, GA4, Google Ads, Meta, and BigQuery.

Experience: 3+ years of experience in data analysis, experimentation, or CRO within e-commerce, D2C, or high-traffic transactional websites. 

Qualification: Bachelor’s Degree/Master’s Degree (Preferred)

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Responsibilities

  • Analyze A/B testing from the generation of hypotheses through to statistical analysis and provide actionable recommendations according to test results.
  • Map customer journeys through different devices and different traffic sources to find any funnel leaks and conversion blocks and test ideas.
  • Use SQL and Python to analyze data from first-party event-level data directly.
  • Setup and maintain data pipelines for Shopify, GA4, Google Ads, and BigQuery while having the ability to integrate data from multiple sources individually.
  • Collaborate with marketing, UX, and development teams to apply insights through site and campaign optimization.

Requirements

  • At least 3+ years of experience working on data analysis and experiments (CRO) in e-commerce, D2C websites, or any high-traffic transactional websites.
  • Experience in SQL with advanced techniques such as table joins, window functions, and CTEs.
  • Basic knowledge of Python or R programming for data manipulation and statistical analysis.
  • Experience in A/B testing, which involves formulating the hypothesis, calculating the sample size and significance level, and conducting statistical analysis, and its impact on the business.
  • Experience in GA4, which includes event-based tracking and custom explorations.

Preferred Qualifications

  • Experience in integrating Google Ads and Meta data with analytics from the acquisition all the way through the conversion process.
  • Ability to connect  independently  to various APIs, data warehouses, and flat files without the engineering team.
  • Experience in BigQuery/AWS data warehouse and awareness of scheduling queries and data modeling.
  • Awareness of behavioral analytics through use of session recording and heatmap tools such as FullStory or Hotjar.
  • Experience in Looker, Tableau, dashboards, and excellent analytical communication skills.