Note: The job is a remote job and is open to candidates in USA. Wand is a company focused on making gaming magical by building tools that enhance player experience across thousands of PC games. They are seeking a Product Data Analyst to take ownership of key metrics, conduct deep investigations, and partner strategically with various teams to drive data-driven decisions and recommendations.
Responsibilities
- 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
- 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 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
- You'll work directly with our leaders on the questions that don't have obvious answers
- You'll frame the question, run the analysis, and deliver the recommendation
- 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
Skills
- 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
- 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
Benefits
- 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
Company Overview