Senior Games Data Analyst, Europe, Asia

Job Description:

  • Analyze player behavior across the full lifecycle, including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation.
  • Identify opportunities and risks through player segmentation, funnel analysis, cohort analysis, retention analysis, and behavioral pattern analysis.
  • Design and evaluate A/B tests and other experiments, including hypothesis development, sample-size estimation, metric selection, statistical testing, and result interpretation.
  • Measure the performance of game features, promotions, events, bonuses, and campaigns.
  • Define and maintain key product metrics and analytical frameworks for different games and player segments.
  • Build dashboards and recurring reports that allow stakeholders to monitor product performance and make timely decisions.
  • Investigate unusual changes in KPIs and determine their underlying causes and business impact.
  • Translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders.
  • Partner with Product Managers and game teams to define analytical requirements before launching new features or initiatives.
  • Work with Data Engineers to improve data quality, tracking coverage, data models, and analytical datasets.
  • Promote consistent analytical standards and encourage data-informed decision-making across the organization.

Requirements:

  • 5+ years of experience in data analytics, product analytics, business intelligence, or a related field.
  • At least 3 years of experience in gaming, online entertainment, betting, or financial quantitative research, or another high-volume digital product environment.
  • Having published statistics-related research in an SCI-indexed journal is a plus.
  • Advanced SQL skills and experience working with large-scale datasets.
  • Strong understanding of product and gaming metrics, including DAU/MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV, and player value.
  • Solid knowledge of statistics, hypothesis testing, experiment design, and A/B testing.
  • Experience using Python or R for data analysis, statistical modelling, or automation.
  • Experience with BI and visualization tools such as Tableau, Power BI, Looker, or Apache Superset.
  • Strong analytical thinking and the ability to move from a business question to a structured analysis and actionable recommendation.
  • Excellent communication and stakeholder-management skills.
  • Ability to manage multiple projects and work independently in a fast-paced environment.
  • Familiarity with cloud data warehouses such as Amazon Redshift, Snowflake, BigQuery, or Databricks.
  • Experience with event-tracking design and data-quality validation.

Benefits:

  • Sporty is a remote first company in pursuit of sustainability
  • A competitive salary + individual performance based bonuses every quarter
  • 28 days paid annual leave
  • Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
  • Referral bonuses & flash bonuses
  • Top of the line equipment
  • Annual company retreats to provide great internal networking opportunities
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