Sporty Group - Senior Games Data Analyst (Europe, Asia)
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.
Responsibilities
• 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.
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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