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

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

subscription analyticschurn modelinglifecycle analyticsLTV forecastingpricing optimizationretention strategySQLPythonRA/B testing

Soft Skills

data-driven decision makingstakeholder communicationstrategic thinkinginfluencingcollaborationproblem solvingleadershipeducationoptimizationgovernance

Tools & Technologies

TableauLookerPower BIdata warehousesbusiness intelligence systemsanalytics platformsreporting infrastructurecloud-based analyticsdata pipeline architectureETL processes

Industry Keywords

mobile gamessubscription business modelsplayer behavior datamobile attribution ecosystemsprivacy frameworksmeasurement limitationsdata qualityanalytics engineeringsubscription growthrevenue optimization

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