Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States or Canada on a remote basis

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

Marvel Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe.

What You Will Do

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

What We're Looking For

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

Bonus Points

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
Advanced degrees a plus
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

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