Data Analyst - MARVEL Strike Force

Scopely is a global video game and interactive entertainment company developing, publishing, and operating mobile games, including Marvel Strike Force. The company is seeking a Data Analyst to use analytical tools and player behavior data to improve engagement, retention, monetization, and game health, while delivering business reporting and supporting feature, event, offer, and experiment measurement.

Responsibilities:

• Use AI-enabled tools thoughtfully to accelerate analytical workflows, including data exploration, SQL/Python development, documentation, QA, summarization, and insight generation, while maintaining strong judgment around data quality, accuracy, privacy, and business context
• Partner with product, design, economy, live operations, marketing, and leadership teams to turn data into clear insights that improve player engagement, retention, monetization, and long-term game health
• Own recurring business-health reporting for Marvel Strike Force, including KPI reads, trend context, variance explanations, and executive-ready narratives for what changed, why it changed, and what to do next
• Analyze player behavior across onboarding, progression, events, offers, combat modes, and other core game systems to identify risks, opportunities, and player-impacting friction
• Design and validate analytics tracking for new features, live events, player offers, and experiments so teams can measure performance accurately from launch onwar

Requirements:

• B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
• 2+ years of experience in data analytics, product analytics, business analytics, financial analysis, data science, or a similar quantitative role
• 2+ years' experience using SQL/Python, including complex queries from multiple data sources
• 2+ years' experience creating reports using Tableau/Looker or a similar reporting system
• Curiosity and hands-on interest in using AI tools to improve analytics workflows, with the judgment to validate outputs, protect sensitive data, and distinguish useful acceleration from unsupported conclusions
• Familiarity with experimentation, including A/B test design, metric selection, statistical significance, guardrail metrics, and post-test interpretation
• Excellent communication and storytelling skills, with the ability to turn detailed analysis into concise, actionable recommendations for both technical and non-technical partners
• Comfort working quickly in a live-service environment where priorities shift, data is imperfect, and decisions often need both speed and rigor
• Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making
• Passion for games and curiosity about what motivates players, especially in RPG, hero collector, strategy, or squad-based combat games
• 2+ years within the mobile gaming domain
• Experience analyzing player lifecycle metrics such as onboarding, funnels, retention, engagement, progression, monetization, economy health, offers, events, or churn
• Experience with modern analytics workflows such as dbt, Snowflake, BigQuery, Git, notebook-based analysis, or reusable data models
• Advanced degrees a plus