Blaze Talent

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

Blaze Talent United States · $100K–$130K/yr

Staffing and Recruiting · 2-10 employees

7 h ago
Remote Mid (2-5 yrs) Full-time United States
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About the role

The Product Analytics Manager will build and maintain the analytics infrastructure, including event tracking, core product dashboards, and A/B testing frameworks. They will also partner with product and game design teams to analyze player behavior, predict churn, and optimize game performance.

What they look for

Product Analytics SQL Firebase Amplitude Mixpanel A/B Testing Data Visualization Looker Tableau Metabase Churn Prediction Statistical Significance Data Modeling Mobile Gaming Python R

Requirements

Candidates must have at least 3 years of experience in product or data analytics, preferably within mobile gaming or consumer apps. Proficiency in SQL, event-tracking tools, and statistical experimental design is required, along with a bachelor's degree in a quantitative field.

Benefits

Equity

Full description

Product Analytics Manager— High-Growth Gaming Startup

Location: Remote (US-based, must be available for 9:30am ET standup)

Compensation: $100,000–$130,000 base + equity

Experience Level: 3+ years professional experience required

About the Company

Our client is a fast-growing, venture-backed gaming startup operating at the intersection of real-money gaming and the creator economy. With a core product already in market and generating significant revenue, they're expanding their engineering team to meet demand and build out the next generation of features.

This is a high-stakes, high-impact opportunity to work on a social casino product used by thousands of players around the clock. The founding team is composed of seasoned entrepreneurs and engineers with backgrounds in crypto, gaming, and consumer tech — and they’re backed by top-tier investors.

The Role

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.

What You’ll Do

  • 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.

What They're Looking For:

  • 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.

Bonus Points For

  • 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.

Why This Role Is Exciting

  • Remote-first and flexible. The team cares about outcomes, not hours. Work from anywhere in the U.S., or utilize the hybrid hubs in NYC and Miami.
  • Greenfield opportunities. This is not a legacy stack. There’s massive room to shape data architecture, tooling, and processes from the ground up.
  • Top-tier backers + market traction. The company is operating in an incredibly profitable industry and is already live with real users and revenue.
  • Founding-team quality. You’ll work with some of the most capable operators in the space, all with prior startup successes under their belts.

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.