Data Analyst - MARVEL Strike Force

Scopely is a global video game and interactive entertainment company developing and operating mobile games, including MARVEL Strike Force. The Data Analyst will use analytics and AI-enabled tools to generate insights, own business-health reporting, analyze player behavior, and design tracking for features, events, offers, and experiments.

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
• Please ensure that the résumé/CV you attach is written in English
• 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