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Wand

Wield the power of infinite creative energy. Assisted by AI with the magic of Wand

Product Data Analyst

Location

New York

Posted

4 days ago

Salary

$145K - $175K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishBigQueryPandasPythonSQL

Job Description

Product Data Analyst

Wand

• You'll own the metrics that run the business. • 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. • 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 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. • 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.

Job 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; 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

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