Product Analyst

Wand; New York (NY); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Fully remote work arrangement

Job summary

Wand is seeking 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.

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.

Qualifications

• 5+ years as a Product Analyst on a consumer software or gaming team.
• Translate ambiguous product questions into decisions that changed what shipped.
• SQL fluency — complex joins, incremental computation, window functions, large datasets.
• Python for analysis — pandas and statistical libraries.
• Experimentation chops — hypothesis testing, sample sizing, and p-value judgment.
• Direct communication — convey uncomfortable answers without caveats.

Responsibilities

• Define metrics and frameworks across Product, Growth, Marketing, and Finance.
• Deep investigation of retention dips and funnel leaks across cohorts and games.
• Design and analyze A/B tests on product changes, pricing, onboarding, and growth.
• Partner with leaders to frame questions and deliver recommendations.

Skills

Product analytics

SQL

Python (Pandas)

Experimentation

Direct communication

Education

Quantitative degree

Tools

Hex

dbt

BigQuery

Job description

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.

About the Role

Wand is seeking 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.

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. Data engineering owns the pipelines; you’ll focus on the analysis, the recommendation, and the decision that follows.

What You'll Do

• 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.

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.

Who You Are

Core requirements:

• 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

Preferred qualifications:

• 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

What We Offer

• Competitive compensation and equity package.

• Fully remote work arrangement.

• The chance to do unusually deep native work for an audience of 40M+ players who will actually feel the difference.

• A team of people who genuinely love games, move incredibly fast, and care deeply about what they build.