CRM Data Analyst - Campaign
Role details
Job location
Tech stack
Job description
industry, connecting millions of people around the world daily. Monopoly GO is a global phenomenon and one of the most successful mobile game launches in history, captivating millions of players worldwide. What You'll Do Analyze player behavior and CRM performance across campaigns, lifecycle journeys, segmentation, retention, engagement, and monetization Measure the impact of CRM initiatives, including push notifications, in-game messages, inbox campaigns, offers, and lifecycle communications Design and analyze experiments, holdouts, and incrementality frameworks to understand the true impact of CRM actions Build dashboards, reports, and recurring analyses that help the CRM team make faster, better-informed decisions Translate data into clear recommendations that improve player targeting, personalization, campaign timing, and lifecycle strategy Partner with CRM, Product Analytics, Analytics Engineering, Data Platform, and Data Science teams to improve data quality, tracking, and
Requirements
decision-making Present insights clearly to technical and non-technical stakeholders, explaining what happened, why it happened, and what should happen next What We're Looking For 3+ years of experience as a Data Analyst, Product Analyst, CRM Analyst, BI Analyst, or similar analytical role Experience working directly with CRM, lifecycle, growth, live operations, or product teams Strong SQL skills and comfort working with large datasets. Experience with BigQuery is a plus Experience analyzing player behavior, campaign performance, segmentation, retention, engagement, monetization, or lifecycle trends Working knowledge of experimentation methods, including A/B testing, holdouts, incrementality analysis, or campaign measurement frameworks Experience with visualization tools such as Looker, Tableau, Power BI, or similar. Looker experience is preferred Strong communication and presentation skills, with the ability to turn complex analysis into clear, actionable recommendations Ability to operate independently, prioritize effectively, and ramp up quickly in a fast-paced, collaborative environment Bachelor's degree in Business, Economics, Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience Nice to Have Experience in mobile gaming, consumer apps, entertainment, e-commerce, or other high-scale digital products Experience with Python or R for analysis, automation, or statistical modeling Understanding of player lifecycle concepts such as onboarding, activation, engagement, retention, churn, reactivation, and payer behavior Experience with audience segmentation, personalization, campaign targeting, or recommendation frameworks Experience using AI frameworks or agentic coding tools such as Claude Code to accelerate analytical workflows, documentation, code generation, code review, or automation Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.