Allan Cheung
Experimentation and Analysis Manager, Product & Growth Analytics @Shopify
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WORK HISTORY
Experimentation and Analysis Manager, Product & Growth Analytics @Shopify
Toronto, ON, CA
Lead experimentation and measurement initiatives for Retention and New Merchant Activation product teams, defining KPIs and analytical frameworks used to evaluate product performance. • Design and analyze controlled experiments to assess the impact of product initiatives on onboarding, retention, and revenue metrics. • Analyze large-scale product datasets to generate insights that inform product strategy and growth initiatives. • Communicate analytical findings and recommendations to cross-functional stakeholders including Product, Growth Marketing, Finance, and Engineering. Retained 54K merchants and preserved an estimated $1.5M–$2.0M in annual revenue by conducting a deep churn analysis that identified subscription payment failures as the source of roughly one third of cancellations. Enhanced new merchant onboarding by analyzing Shopify admin search behavior, building custom data-cleaning and categorization logic to identify friction around app integrations, which led to a new, clearer onboarding guide. Partnered with the Monetization analytics team to set rollout guardrails for a new checkout step, including a 10% free-trial entry decline threshold for rollback; the launch reduced survey-screen drop-offs and increased conversions.
EDUCATION
Wilfrid Laurier University
Bachelor of Business Administration (B.B.A.) Co-op Option; Minor in Computer Science
SKILLS
ABOUT ALLAN CHEUNG
I’m a Senior Data Scientist specializing in experimentation and product analytics, helping product teams understand what works, why it works, and how to improve it.Over the past decade, I have worked with large-scale datasets to evaluate product initiatives, analyze user behavior, and generate insights that guide growth, retention, and monetization strategies. My work at Shopify and Flipp has focused on designing controlled experiments, defining success metrics, and delivering analytical insights that support product decisions.I specialize in:• Experimentation and A/B testing• Statistical modeling and hypothesis testing• Product and growth analytics• Large-scale data analysis• KPI design and measurement frameworksI enjoy analyzing merchant churn patterns, onboarding experiences, and campaign performance to extract insights from complex datasets that improve product experiences and support stronger business outcomes. To support this work, I leverage SQL, Python, and modern analytics platforms to analyze large datasets and support product and business teams in making data-informed decisions.If you’re looking for someone who can connect experimentation, analytics, and product strategy, I would be glad to connect.
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