Data Analyst II, Ecommerce

4 to 8 years in a data or analytics role with direct experience in e-commerce or retail marketing analytics. You understand how product sales, marketplace channels, and subscription conversion interact.

Hands-on experience with Shopify analytics and Amazon Seller Central or Amazon Ads. You know how these platforms structure their data, what the key metrics are, and how to measure performance across both.

Strong, proven SQL ability. You write clean, efficient queries across complex schemas and can build analytics logic others can maintain. dbt experience, including owning models in production, is a strong plus.

You write readable, well-structured Python for analytical work: data manipulation, automation, or scripting. Experience with pandas and the ability to move fluidly between SQL and Python depending on what the problem calls for is what we’re looking for.

Proficient with Claude or similar AI tools for analytical work. You use them to move faster, not as a crutch. You know how to validate outputs rather than ship the first answer.

You understand how attribution models work in a marketplace context, what makes a good experiment, and how to think about LTV, CAC, and payback period for a hardware product that feeds a subscription business.

You don’t wait to be asked. You spot the gap, scope the work, and drive it to a conclusion. Your stakeholders shouldn’t have to manage your backlog.

You can take a fuzzy business question and turn it into a clear analytical plan. You ask the right clarifying questions and bring structure without needing the problem handed to you pre-scoped.

You communicate findings in a way that drives decisions. You know when a chart is enough and when you need a narrative. You’ve presented to senior stakeholders and know how to calibrate.