Product Analytics Manager

3 hours, 41 minutes ago
Full-time
Mid Level
Data Science and Analytics
MyPrize

MyPrize

MyPrize is a software development company focused on creating a free-to-play social gaming and social markets platform. With a team of 51-200 employees, it offers multiplayer experiences where users can engage with creators, streamers, and friends on both web and mobile platforms. The company serves over 1 million users globally, emphasizing community interaction without purchase requirements. The platform features a variety of offerings, including social casino games like free slots and table games, multiplayer social gaming for battling friends, and unique prediction markets covering sports, crypto, and politics. MyPrize is known for its no-risk play-to-win prizes and includes sweepstakes promotions. It operates under My Technology, Inc., with a focus on providing an accessible and engaging gaming experience for users in the US and internationally.

information technology & services
1-10
$34M raised

Description

  • Assess and close event-tracking gaps across mobile SDKs and game-engine logging, validating event definitions and data quality.
  • Build and maintain dashboards covering DAU/MAU, sessions, retention, funnel conversion, and feature adoption.
  • Establish A/B testing frameworks for game mechanics and UI changes, including hypotheses, metrics, sample sizes, and significance analysis.
  • Lead player segmentation and churn-prediction modeling in partnership with the Head of Analytics.
  • Investigate KPI anomalies, identify root causes, and communicate actionable recommendations to technical and non-technical stakeholders.
  • Partner with Product and Game Design to establish measurement frameworks for new game and feature launches.

Requirements

  • 3–5+ years of experience in product or data analytics, ideally in mobile gaming or session-based consumer applications.
  • Strong SQL skills and experience with event-tracking tools such as Firebase, Amplitude, Mixpanel, or game-engine analytics SDKs.
  • Proficiency with modern BI and visualization tools such as Metabase, Looker, or Tableau.
  • Experience with A/B testing platforms, experimental design, and statistical significance testing.
  • Working knowledge of predictive or clustering methods such as logistic regression and k-means; Python or R is a plus.
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field preferred.
  • Comfort working with ambiguous, evolving data infrastructure in a build-from-near-scratch environment.
  • Preferred: mobile game analytics, app-store optimization, behavioral or churn prediction machine learning, or regulated gaming/sweepstakes experience.

Benefits

  • Remote-first work environment with hybrid offices in New York City and Miami.
  • Equity.
  • 401(k) plan.
  • Health, dental, and vision insurance.
  • Flexible Spending Account.
  • Flexible vacation policy.

Interested in this position?

Apply directly on the company website

Apply Now

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