Lead Product Data Analyst

Role Overview

The Lead Product Data Analyst will directly impact results through insights and reports, working closely with product managers, researchers, and other business stakeholders. The role requires autonomy, setting own standards, and working independently. The team is embedded across the business, owning the semantic layer and metrics everyone trusts.

What You Will Do

As a Lead Product Data Analyst, you’ll model and analyze complex systems, create and maintain reporting systems, and work in the inner layers of the Data Warehouse to provide clean, documented datasets. You’ll untangle metrics, give the business one number to stand behind, and get stakeholders to act on your findings.

Why It Might Be a Fit

This role is for someone who uses AI tools daily, has a learning mindset, sets the bar, is a team player, and has a business focus. You’ll work autonomously, hold your own analysis to a high standard, and raise the bar for others. You’ll care about understanding business needs and how your analysis connects with our product, customers, and financials.

Requirements

• AI-Native: You use AI tools daily to move faster: drafting and debugging SQL and dbt models, scripting analysis, and shaping reports.
• Learning Mindset: You take pride in understanding problems deeply and asking the right questions before reaching for an answer.
• Sets the Bar: As a Lead, you work autonomously, hold your own analysis to a high standard, and raise the bar for the people around you.
• Team Player: You are ready to work alongside exceptional people, helping them achieve great results.
• Business Focus: You care deeply about understanding business needs and how your analysis connects with our product, customers, and financials.

Benefits

• Base salary: $75,000–$100,000 USD annually.
• AI tooling provided: The Claude routines already running pieces of our experimentation process are yours to extend.
• Fully remote: This is deep-focus analytical work with US-facing partners.
• Flexible PTO: Measured on outcomes, not hours logged.

Tagged as: Data Analysis