Wand

Wand

Product Data Analyst

Remote - USA (East Coast)

Sponsorship not specifiedDetected 49 days ago
PythonSQLBigQueryRESTPandasdbtData EngineeringA/B TestingAccessibilityCommunication

About the 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.
  • you'll focus on the analysis, the recommendation, and the decision that follows.
  • When a number moves, you'll know before anyone else - and you'll know why.

Responsibilities

  • 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.
  • You'll own the dashboards and definitions Product, Growth, Marketing, and Finance rely on every day.
  • You'll build in Hex, document in our spec, and enforce consistent definitions across teams.
  • You'll design and analyze A/B tests on product changes, pricing, onboarding, and growth initiatives.
  • You'll frame the question, run the analysis, and deliver the recommendation.

Requirements

  • 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships)
  • 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

Nice to have

  • 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
  • We ship fast, write things down, and don't run meetings that could have been a Loom.
  • You probably should, too.
  • Wand is an equal opportunity employer.

Skills

  • Wand makes gaming magical.

This listing is sourced directly from Wand's careers page and normalized into a canonical job model.