Job Description

Roles & Responsibilities

• Senior Experimentation Analyst - Owning high-stakes tests end to end.
• Analytics Engineer - Building the data layer and self-serve tooling the whole team relies on.

What takes 4-5 years elsewhere happens in 1-2 here.

Who You'll Work With: You'll sit within the Analytics team and collaborate closely across the organization:

• Senior Management: Your recommendations shape site and campaign decisions
• Digital Marketing Team: Tie ad platform data to on-site behavior across the full funnel
• CRO: Partner on hypothesis prioritization and test design
• Dev & QA: Translate winning tests into production and validate implementation
• Finance: Connect experimentation outcomes to revenue impact
• Customer Support: Surface post-purchase friction that feeds upstream test ideas

Our team includes alumni from Apple, Deutsche Bank to name a few.

What You'll Own:

• Analyze A/B tests end-to-end: what worked, what didn't, why and deliver decision-ready recommendations, not metrics readouts.
• Map user journeys across devices and traffic sources; pinpoint friction, drop-offs, and conversion leaks; convert them into prioritized, testable hypotheses.
• Dig into data at segment, device, source, and journey-step level to find the non-obvious drivers that top-line reporting misses.
• Build and maintain your own data pipelines across Shopify, GA4, Google Ads, and BigQuery: you don't wait in a queue to get the data you need.
• Contribute to a structured hypothesis pipeline: prioritize by impact, write clear test briefs, define success criteria upfront, and push proposals to execution.
• Orchestrate agentic AI workflows to accelerate analysis using SQL and Python as the foundation to direct, validate, and scale your analytical output.
• Collaborate with marketing, UX, and development to translate findings into site changes, campaign adjustments, and creative decisions.

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