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

Remotefull-timemid

DataData Manager

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Assess and close instrumentation gaps (mobile SDK/game-engine logging like Firebase, Amplitude, or Mixpanel) and validate data quality before diving into dashboard work.

Technical Tools

DataData Manager

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

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.

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.

Responsibilities

~1 min read

→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.

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 Have

~1 min read

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.

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.