About the role

We're hiring a Product Analyst to own the metrics that matter most and chase down the questions nobody else has time for. You'll partner with Product, Growth, Marketing, and Finance - not as a service desk, but as a peer who pushes back when the question being asked isn't the right one.

This is a senior IC role. You'll set the analytical bar, define the metrics frameworks the rest of the team relies on, and run the experiments that decide what ships. Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and the decision that follows.

What you'll own

The metrics that run the business. You'll own the dashboards and definitions Product, Growth, Marketing, and Finance rely on every day. When a number moves, you'll know before anyone else - and you'll know why. You'll build in Hex, document in our spec, and enforce consistent definitions across teams.

Deep investigation. When retention dips or a funnel leaks, you won't stop at the symptom. You'll follow the thread - through cohorts, segments, the quirks of specific games - until you can name the cause and recommend a fix. You'll notice when a chart doesn't look right and you won't leave it alone.

Experimentation. You'll design and analyze A/B tests on product changes, pricing, onboarding, and growth initiatives. You'll set sample sizes, call stat sig, and write the readouts. When a result is noisy or a test is underpowered, you'll say so - even when the PM is ready to ship.

Strategic partnership. You'll work directly with our leaders on the questions that don't have obvious answers. What are players actually doing in Game Guide? Which customizations predict long-term retention? Why does Wand Pro convert better in some game categories than others? You'll frame the question, run the analysis, and deliver the recommendation.

What you'll be measured on

The decisions you unblocked. The metrics you improved. The bad ideas you killed before they shipped. The questions you answered before anyone thought to ask them.

Minimum qualifications

• 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships)
• SQL fluency - complex joins, incremental computation, window functions, query optimization; comfortable with large, messy datasets
• Python for analysis - pandas and statistical libraries; you don't freeze when the answer requires code
• Experimentation chops - hypothesis testing, sample sizing, and the judgment to tell a p-value from an insight
• A track record of moving metrics you cared about (we'll ask you to walk us through one)
• Direct communication - you can tell a leader an uncomfortable answer without burying it in caveats

Preferred qualifications

• Degree in a quantitative field
• Hex, dbt, and Bigquery experience
• Prior growth-stage consumer software or gaming experience
• Causal inference methods (diff-in-diff, regression discontinuity, propensity matching)
• Prior work on LTV, retention, or subscription models
• Experience building metrics frameworks or KPI hierarchies from scratch

How we work

Fully remote, with a few hours of daily overlap across US time zones. We ship fast, write things down, and don't run meetings that could have been a Loom. We play games. You probably should, too.

Join us in building the future of PC gaming.