Product Data Analyst

MoonTech is an AI-first, agentic workflow company transforming influencer performance marketing through autonomous AI agents. Our platform automates the entire campaign lifecycle, enabling brands to launch, manage, optimize, and scale creator campaigns with guaranteed conversions and measurable ROI. Powered by proprietary ground truth data, MoonTech is pioneering the category of conversion intelligence for the creator economy.

This is not a role for someone who wants a clean warehouse and a BI tool waiting for them.

It is a role for a senior analyst who can operate inside a live infrastructure buildout, help get the data foundation right, and use AI tools to work faster than a traditional analyst stack allows.

This person turns event data, campaign performance, and growth metrics into decisions the product and leadership team can act on immediately.

Requirements

• 5+ years in product analytics or data analysis, ideally at a marketplace, e-commerce, or performance-marketing company. Growth-stage startup experience is a strong plus.
• Define, track, and report north-star and funnel metrics for both brands and creators, including signup, activation, early campaign performance, retention, and payouts.
• A track record owning north-star and funnel or retention metrics for a two-sided or marketplace product.
• Partner with PMs to define event tracking specs as part of feature planning, not as a follow-up request to engineering after launch.
• Experience partnering directly with PMs and engineers on instrumentation, not just consuming finished data.
• Work directly with the data and engineering team on our ongoing data infrastructure modernization.
• Validate data quality, flag gaps, and act as a product-side partner on schema and taxonomy decisions.
• Comfortable working with imperfect data and evolving schemas. We are mid-modernization, not a mature warehouse environment.
• Build and maintain dashboards so PMs, leadership, and investors can get answers without waiting on ad hoc requests.
• Hands-on exper…