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Scopely

Data Analyst - MARVEL Strike Force

Scopely · CA - Canada

Posted 26 days ago

or apply directly on Scopely's site. We never take the application ourselves.

Is this posting real?

This role has been open
26 days
Scopely's roles stay open a median of 43 days
Reposted
No
Salary listed
No
0% of Scopely's roles list one
Ghost-job risk at Scopely
low
0 stale, 6 reposted of 182 open
Hiring momentum
242 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Scopely's own greenhouse board since 2026-08-03. Full hiring picture for Scopely.

About this role

As a Data Analyst for Marvel Strike Force at Scopely, you will utilize AI-enabled tools to enhance analytical workflows and generate insights that improve player engagement and game health. Your responsibilities include analyzing player behavior, creating business-health reports, and collaborating with various teams to turn data into actionable recommendations. You will also design analytics tracking for new features and events to ensure accurate performance measurement.

Our read on this posting2.6out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scopely as an employer.

What you need

  • 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
  • Familiarity with experimentation, including A/B test design, metric selection, statistical significance, guardrail metrics, and post-test interpretation

Nice to have

  • Demonstrates openness to using AI-enabled tools to improve analytical workflows
  • 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

Worth weighing

  • Remote position available in the United States or Canada
  • No salary listed
  • Focus on player engagement and retention suggests a dynamic work environment with shifting priorities
  • Experience with AI tools is emphasized, indicating a modern approach to analytics but also a need for careful judgment

Summarised from Scopely's posting. Read the full original.

Listed by Scopely on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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