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Data Analyst - Marvel Strike Force

RemoteUnited States, Canada only
Published
Role
Data Science
Experience
Mid
Company size
Enterprise
$91.3k–$140k/yr
Check eligibility

Open to US, CA only. Set where you work from to check your eligibility.

No BS summary

Data analyst with 2+ years in analytics and 2+ years using SQL/Python plus Tableau/Looker or similar reporting tools. Must be based in the United States or Canada and able to work on Marvel Strike Force player, product, and business-health analytics. Mobile gaming experience is a plus.

Core skills

SQLPythonTableau

Required skills

Looker

Optional skills

dbtSnowflakeBigQueryGit

Required languages

English

What you'll do

  • Use AI-enabled tools to accelerate analytical workflows, including data exploration, SQL/Python development, documentation, QA, summarization, and insight generation while maintaining judgment around data quality, accuracy, privacy, and business context.
  • Partner with product, design, economy, live operations, marketing, and leadership teams to turn data into 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.
  • 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 onward.

What they require

  • B.Tech/BS in Computer Science, Statistics, Math, Physics, or another quantitative discipline.
  • 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.
  • Preferred: Openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making.
  • Preferred: Passion for games and curiosity about what motivates players, especially in RPG, hero collector, strategy, or squad-based combat games.
  • Preferred: Advanced degree.
  • Preferred: 2+ years within the mobile gaming domain.
  • Preferred: Experience analyzing player lifecycle metrics such as onboarding, funnels, retention, engagement, progression, monetization, economy health, offers, events, or churn.
  • Preferred: Experience with modern analytics workflows such as notebook-based analysis or reusable data models.
  • Résumé/CV must be written in English.

Benefits

  • Employees may be eligible for equity.
  • Employees may be eligible for bonuses.
  • Comprehensive benefits package.
  • Healthcare benefits.
  • Retirement benefits.
  • Pet insurance.
  • Paid holidays.
  • Paid Scopely free days.
  • Unlimited paid time off.

interactive entertainment, video game company

🇺🇸 United StatesGamingEnterprisescopely.com

Details

Apply routeGreenhouse
$91.3k–$140k/yr