Note: The job is a remote job and is open to candidates in USA. Wand builds gaming customization and guidance tools that help players have more fun and access their favorite PC games. The Product Analyst will own product metrics, investigate user and business questions, design and analyze experiments, and partner with Product, Growth, Marketing, Finance, and company leaders to drive product decisions.
Responsibilities
- The metrics that decide what ships. You'll define what Product, Growth, Marketing, and Finance measure — and, more importantly, what each metric is there to help decide. You'll notice when we're tracking the wrong thing, and adjust the framework as the business evolves. 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
Skills
- 5+ years as a Product Analyst on a consumer software or gaming team. Not a BI, reporting, or dashboarding role — this is a role about product decisions
- Track record of translating an ambiguous product question into a decision that changed what shipped (we'll ask you to walk us through one)
- 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
- Direct communication — you can tell a leader an uncomfortable answer without burying it in caveats
- Degree in a quantitative field
- Hex, dbt, and BigQuery 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
Benefits
- Equity package
- Fully remote work arrangement
Company Overview