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Red Games Co.

Subscription Analyst

Red Games Co.

Subscription Analyst for Red Games Co. driving subscription analytics growth strategy in mobile gaming.

Posted 6/23/2026full-timeSalt Lake City • Utah • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
CloudETLPythonSQLTableau

About the role

Key responsibilities & impact
  • Serve as the studio’s subject matter expert on subscription analytics, including acquisition, conversion, retention, churn, engagement, lifetime value, pricing, offer strategy, and revenue optimization.
  • Partner with Product, Marketing, Engineering, and Executive Leadership to define data-driven strategies that maximize player value and subscription growth.
  • Establish and maintain a comprehensive subscription analytics framework that informs business planning, forecasting, and investment decisions.
  • Own the development, standardization, and governance of KPIs across subscription products and live-service game initiatives.
  • Identify emerging trends, risks, and opportunities within player behavior and subscription performance, proactively recommending strategic actions.
  • Design and build predictive models using Python, R, SQL, and statistical techniques to forecast subscriber growth, churn, revenue, and player lifetime value.
  • Develop segmentation models and behavioral analyses that uncover actionable player insights and monetization opportunities.
  • Lead analyses that influence product roadmaps, feature prioritization, pricing strategies, and marketing investments.
  • Translate large-scale game, marketing, and subscription datasets into clear recommendations for stakeholders at every level of the organization.
  • Design, implement, and analyze A/B tests focused on subscription conversion, onboarding, paywalls, pricing, retention programs, promotional offers, and win-back campaigns.
  • Establish experimentation best practices, governance processes, and measurement methodologies across the studio.
  • Define success metrics, evaluate results, and ensure learnings are operationalized into future product and marketing initiatives.
  • Drive continuous optimization efforts that improve subscription KPIs, player engagement, and overall revenue performance.
  • Develop and maintain scalable reporting systems, dashboards, data models, and automated analytics workflows.
  • Identify opportunities to improve data quality, accessibility, governance, and operational efficiency throughout the analytics ecosystem.
  • Contribute to technical planning and requirements for analytics platforms, data warehouses, business intelligence systems, and reporting infrastructure.
  • Champion best practices for analytics engineering, data integrity, documentation, monitoring, and performance optimization.
  • Foster a data-driven culture by educating stakeholders on metrics, experimentation, and analytical best practices.

Requirements

What you’ll need
  • 5+ years of analytics experience with significant hands-on expertise in subscription-based mobile games, or equivalent transferable experience in high-volume subscription analytics.
  • Demonstrated ownership of subscription analytics programs, including churn modeling, lifecycle analytics, LTV forecasting, pricing optimization, and retention strategy.
  • Proven experience influencing product, marketing, and business strategy through data-driven insights.
  • Extensive experience working with large-scale game telemetry, player behavior data, and subscription business models.
  • Strong understanding of mobile attribution ecosystems, privacy frameworks, measurement limitations, and mitigation strategies.
  • Expert-level SQL skills required.
  • Advanced proficiency in Python or R for analytics, modeling, forecasting, and automation.
  • Experience designing and maintaining analytics data models and reporting infrastructure.
  • Deep experience with business intelligence and visualization tools such as Tableau, Looker, Power BI, or similar platforms.
  • Strong understanding of data warehousing, ETL processes, analytics engineering practices, and data pipeline architecture.
  • Experience partnering directly with software engineering teams to implement analytics instrumentation and data collection strategies.
  • Familiarity with cloud-based analytics environments and modern data platforms is strongly preferred.

Benefits

Comp & perks
  • Competitive salary
  • Flexible work hours

ATS Keywords

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Hard Skills & Tools
subscription analyticschurn modelinglifecycle analyticsLTV forecastingpricing optimizationretention strategySQLPythonRA/B testing
Soft Skills
data-driven decision makingstakeholder communicationstrategic thinkinginfluencingcollaborationproblem solvingleadershipeducationoptimizationgovernance