Niantic

Niantic

Data Analyst - Marvel Strike Force

CA - Canada; US - United States · Mid

Sponsorship not specified$91k-$140kDetected 53 days ago
PythonGitSQLBigQuerySnowflakedbtData AnalysisData ScienceData VisualizationComputer VisionStatisticsA/B TestingFinancial AnalysisLeadershipCommunication

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odds of building a lasting career here

47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Marvel Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe.
  • For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below.

Responsibilities

  • Design and validate analytics tracking for new features, live events, player offers, and experiments so teams can measure performance accurately from launch onwar
  • 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

Requirements

  • 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
  • Comfort working quickly in a live-service environment where priorities shift, data is imperfect, and decisions often need both speed and rigor
  • 2+ years within the mobile gaming domain
  • Experience with modern analytics workflows such as dbt, Snowflake, BigQuery, Git, notebook-based analysis, or reusable data models

Nice to have

  • Advanced degrees a plus

Skills

  • Base pay offered may vary depending on job-related knowledge, skills, and experience.

Compensation

  • For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below.

Benefits

  • 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

Company info

  • 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.
  • What We're Looking For
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This listing is sourced directly from Niantic's careers page and normalized into a canonical job model.