Lead Product Data Analyst

Remote Full TimeUruguay (Remote)LawnStarter

Role Overview

As a Lead Product Data Analyst, you’ll directly impact our results through insights and reports, working closely with product managers, researchers, and other business stakeholders. You’ll be responsible for nurturing the data-driven culture within the company, making data easier to consume, and helping teams make calls on evidence instead of instinct.

What You Will Do

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 also help teams untangle metrics, get stakeholders to act on your findings, and build a data-driven culture.

Why It Might Be a Fit

This role is for someone who is AI-native, has a learning mindset, sets the bar high, is a team player, has a business focus, and has a bias for action. You’ll be working autonomously, holding your own analysis to a high standard, and raising the bar for the people around you.

Requirements

  • AI-Native: You use AI tools daily to move faster
  • Learning Mindset: You take pride in understanding problems deeply and asking the right questions
  • Sets the Bar: 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
  • Bias for Action: You understand that despite your careful approach to understanding problems, you actively avoid being a perfectionist or getting tied up in knots

Benefits

  • Base salary: $75,000–$100,000 USD annually
  • AI tooling provided
  • Fully remote
  • Flexible PTO
  • Lightdash as our primary BI layer for dashboards and self-serve reporting
  • SQL and dbt for transformation and modeling, Python or R for the occasional statistical deep dive

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To apply for this job please visit jobs.workable.com.


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