Senior Games Data Analyst, Europe, Asia

This is a fully remote position, open to applicants in Europe.

📋 Description

• Evaluate player behavior throughout the entire lifecycle, including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation.

• Discover opportunities and risks through player segmentation, funnel analysis, cohort analysis, retention analysis, and behavioral pattern analysis.

• Develop and assess A/B tests and other experiments, including hypothesis formulation, sample-size calculation, metric selection, statistical validation, and result interpretation.

• Assess the performance of game features, promotions, events, bonuses, and marketing campaigns.

• Establish and uphold essential product metrics and analytical frameworks for various games and player segments.

• Create dashboards and regular reports that enable stakeholders to track product performance and make prompt decisions.

• Examine unusual fluctuations in KPIs and identify their root causes and business implications.

• Convert complex analytical insights into straightforward recommendations for both technical and non-technical audiences.

• Collaborate with Product Managers and game teams to clarify analytical needs before the launch of new features or initiatives.

• Work alongside Data Engineers to enhance data quality, tracking scope, data models, and analytical datasets.

• Advocate for consistent analytical standards and promote data-driven decision-making throughout the organization.

⛳️ Requirements

• Over 5 years of experience in data analytics, product analytics, business intelligence, or a related area.

• A minimum of 3 years of experience in gaming, online entertainment, betting, or quantitative research in finance, or another high-volume digital product environment.

• Publication of statistics-related research in an SCI-indexed journal is an advantage.

• Proficient SQL skills and experience handling large-scale datasets.

• Strong grasp of product and gaming metrics, including DAU/MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV, and player value.

• Solid foundation in statistics, hypothesis testing, experimental design, and A/B testing.

• Proficient in using Python or R for data analysis, statistical modeling, or automation.

• Experience with BI and visualization tools such as Tableau, Power BI, Looker, or Apache Superset.

• Strong analytical mindset and the capability to transition from a business inquiry to a structured analysis and actionable recommendations.

• Exceptional communication and stakeholder management skills.

• Ability to juggle multiple projects and work autonomously in a fast-paced environment.

• Familiarity with cloud data warehouses such as Amazon Redshift, Snowflake, BigQuery, or Databricks.

• Experience in event-tracking design and data-quality assurance.

🏝️ Benefits

• Sporty operates as a remote-first company committed to sustainability.

• Competitive salary along with individual performance-based bonuses every quarter.

• 28 days of paid annual leave.

• Our core working hours are from 10 am to 3 pm in your local time zone, with flexibility outside these hours.

• Referral bonuses and flash bonuses.

• Provision of top-tier equipment.

• Annual company retreats that foster excellent internal networking opportunities.