Product Analytics Manager

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

Requirements:

• 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