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MyPrize
Posted 31 days agoVerified live 2d ago

Product Analytics Manager

Brief overview

Remote
SQLEvent Tracking and InstrumentationFirebaseAmplitudeMixpanelProduct Analytics DashboardsA/B TestingExperimental DesignStatistical Significance TestingPlayer SegmentationChurn Prediction ModelingLogistic Regression

About the company

MyPrize logo
MyPrizemyprize.us

MyPrizeUS is the fastest growing platform in the free-to-play video games market

Job description

Summary

MyPrize is a free-to-play social gaming and social markets platform that combines online gaming, live streaming, and social markets. The Product Analytics Manager will measure and optimize the in-app player experience by establishing event-tracking infrastructure, building product dashboards, developing A/B testing and churn-prediction capabilities, and partnering with Product and Game Design on launch measurement.

Responsibilities

  • Instrument & Validate Event Tracking: Assess and close event-tracking/instrumentation gaps (mobile SDK and/or game-engine event logging, e.g., Firebase, Amplitude, or Mixpanel), validating event definitions and data quality — the foundational first deliverable before any dashboard work
  • Build Core Product Dashboards: Build and maintain core product/game-performance dashboards (DAU/MAU, session metrics, retention, funnel conversion, feature adoption) that give stakeholders reliable, self-serve visibility into player behavior
  • Design & Analyze A/B Tests: Stand up a structured A/B testing framework for game mechanics and UI changes — defining hypotheses, primary/guardrail metrics, and sample-size requirements, and interpreting results for statistical significance
  • Lead Segmentation & Churn Prediction: Lead player segmentation (cohort/behavioral clustering) and churn-prediction modeling, in partnership with the Head of Analytics, to surface at-risk segments and growth opportunities
  • Investigate KPI Anomalies: Investigate significant or unexpected shifts in core KPIs, determine root cause, and translate findings into clear, actionable recommendations for technical and non-technical stakeholders
  • Partner on Launch Measurement: Partner with Product/Game Design on a standard new-game/feature-launch measurement framework — establishing baseline metrics and monitoring early adoption signals

Skills

  • 3-5+ years in product/data analytics, ideally in mobile gaming or a session-based consumer app
  • Strong SQL and experience with event-tracking/instrumentation tooling (e.g., Firebase, Amplitude, Mixpanel, or a game-engine analytics SDK)
  • Proficiency with a modern BI/visualization tool (Metabase, Looker, Tableau, or similar)
  • Experience with A/B testing platforms, experimental design, and statistical significance testing
  • Working knowledge of predictive or clustering methodologies (e.g., logistic regression, k-means) for churn or propensity modeling; Python or R a plus
  • Comfortable working with ambiguous, evolving data infrastructure — this is a build-from-near-scratch environment, not a mature, fully-instrumented stack
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field preferred
  • Experience with mobile game analytics and app-store optimization (ASO)
  • Familiarity with machine learning techniques for behavioral or churn prediction (e.g., propensity scoring)
  • Experience in a regulated gaming/sweepstakes environment

Qualifications

Must Haves

  • 3-5+ years in product/data analytics, ideally in mobile gaming or a session-based consumer app
  • Strong SQL and experience with event-tracking/instrumentation tooling (e.g., Firebase, Amplitude, Mixpanel, or a game-engine analytics SDK)
  • Proficiency with a modern BI/visualization tool (Metabase, Looker, Tableau, or similar)
  • Experience with A/B testing platforms, experimental design, and statistical significance testing
  • Working knowledge of predictive or clustering methodologies (e.g., logistic regression, k-means) for churn or propensity modeling; Python or R a plus
  • Comfortable working with ambiguous, evolving data infrastructure — this is a build-from-near-scratch environment, not a mature, fully-instrumented stack

Nice to Haves

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field preferred
  • Experience with mobile game analytics and app-store optimization (ASO)
  • Familiarity with machine learning techniques for behavioral or churn prediction (e.g., propensity scoring)
  • Experience in a regulated gaming/sweepstakes environment

Benefits

  • Remote-first company with hybrid offices in NYC & Miami
  • Equity
  • 401K
  • Comprehensive insurance plans: Health, Dental, and Vision
  • Flexible Spending Account
  • Flexible Vacation Policy

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