Product Data Analyst

Wand•New York, NY

1d•$145,000 - $175,000•Remote

About The Position

Wand makes gaming magical. Through game customization and guidance, we build tools that helps players have more fun in their favorite games. Our platform works across thousands of PC games, ensuring that great games are accessible to everyone, regardless of time constraints, skill level, or accessibility needs. We want to build the future of game assistance, and we're hoping you'll join us. 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.

Requirements

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)
Experimentation skills (hypothesis testing, sample sizing, understanding p-values and insights)
A track record of moving metrics (will be asked to provide an example)
Direct communication skills (ability to deliver uncomfortable answers to leadership without excessive caveats)

Nice To Haves

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

Responsibilities

Own the metrics that run the business, including dashboards and definitions for Product, Growth, Marketing, and Finance.
Conduct deep investigations into metric dips (e.g., retention, funnel leaks) to identify root causes and recommend solutions.
Design and analyze A/B tests on product changes, pricing, onboarding, and growth initiatives, including setting sample sizes, calling statistical significance, and writing readouts.
Partner with leaders on strategic questions, framing inquiries, running analyses, and delivering recommendations.
Improve metrics and identify potential issues before they impact the business.