Data Analyst - Marvel Strike Force
About the role
Scopely is seeking a Data Analyst to join our Marvel Strike Force team remotely in the United States or Canada. We are a global team of game lovers developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily. Marvel Strike Force is our squad-based Hero Collector RPG, featuring heroes and villains from the Marvel Universe.
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 on.
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
Qualifications
- Passion for games and curiosity about what motivates players, especially in RPG, hero collector, strategy, or squad-based combat games
- Advanced degrees a plus
- 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
Skills
- AI-enabled tools to improve analytical workflows
- Highly skilled in SQL/Python
- Strong report creation skills using Tableau/Looker
- Experience with experimentation and A/B testing
- Excellent communication and storytelling skills
- Ability to work in a fast-paced, live-service environment
Benefits
Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $91,300—$140,000 USD. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off.
Pay
Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $91,300—$140,000 USD.
Schedule
Remote position in the United States or Canada.