Product Analytics Manager @ Casino Gaming Startup | Series A | $100-130K Base

The company is a fast-growing, venture-backed gaming startup operating at the intersection of real-money gaming and the creator economy. The Product Analytics Manager will build the analytics foundation for its social casino platform, including event-tracking infrastructure, product dashboards, A/B testing frameworks, churn prediction, segmentation, and launch measurement.

Responsibilities:

• Instrument & Validate Event Tracking: Assess and close instrumentation gaps (mobile SDK/game-engine logging like Firebase, Amplitude, or Mixpanel) and validate data quality before diving into dashboard work
• Build Core Product Dashboards: Develop and maintain core dashboards (DAU/MAU, session metrics, retention, funnel conversion) that give stakeholders reliable, self-serve visibility
• Design & Analyze A/B Tests: Stand up a structured A/B testing framework for game mechanics and UI changes—defining hypotheses, sample sizes, and guardrail metrics
• Lead Segmentation & Churn Prediction: Partner with the Head of Analytics to model churn and cluster behavioral segments, surfacing growth opportunities
• Investigate KPI Anomalies: Identify unexpected shifts in core KPIs, determine the root causes, and deliver actionable recommendations to both technical and non-technical stakeholders
• Partner on Launch Measurement: Work with Product and Game Design to establish baseline metrics and monitor early adoption signals for new feature launches

Requirements:

• 3+ years professional experience required
• Remote (US-based, must be available for 9:30am ET standup)
• 3+ years in product/data analytics, ideally in mobile gaming or a session-based consumer app
• Strong SQL fundamentals and hands-on experience with event-tracking tooling (e.g., Firebase, Amplitude, Mixpanel, or a game-engine analytics SDK)
• Proficiency with a modern BI/visualization tool (Metabase, Looker, Tableau, or similar)
• Solid 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
• A self-starter who is highly comfortable working with ambiguous, evolving data infrastructure
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
• Note: This role is only open to candidates based in the U.S. at this time
• Sponsorship is not available
• Must be available for standup at 9:30 AM EST
• Experience with mobile game analytics and app-store optimization (ASO)
• Fluency in Python or R, alongside familiarity with machine learning techniques for behavioral prediction
• Prior experience operating in a regulated gaming or sweepstakes environment