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

Blaze Talent•Remote,

3d•$100,000 - $130,000•Remote

About The Position

This is a high-impact, build-from-near-scratch opportunity to own the analytics foundation of a rapidly scaling platform. As the Product Analytics Manager, you’ll work closely with the Analytics and Product departments to measure and optimize the in-app player experience and game performance. You won't just be maintaining a mature stack; you will stand up reliable event-tracking infrastructure as a foundational dependency. From there, you'll build out the core product dashboards, A/B testing frameworks, and churn-prediction capabilities that the rest of the organization will rely on to make critical business decisions.

Requirements

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.

Nice To Haves

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.

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.