Data Analyst - MARVEL Strike Force

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

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

Nice to have

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