data analyst for Growth marketing

Product Madness develops computer games. The Growth team analyzes marketing performance and provides insights that support strategic business decisions and improve player experiences.

• Partner with UA and Growth collaborators to understand performance, investigate business questions, and provide actionable recommendations
• Lead analytical projects end-to-end, from problem definition and data exploration to insights and collaborator communication
• Own and evolve the business logic and analytical requirements of Growth data models
• Collaborate with Data Engineering, translate business and analytical needs into data requirements, and validate delivered solutions
• Identify and investigate data quality issues, inconsistencies, and gaps across Growth reporting and underlying data models
• Build and maintain scalable reporting and analytical solutions, reducing repetitive manual analysis where possible
• Define and maintain Growth metrics and measurement logic for spend, acquisition, revenue, attribution, and marketing performance
• Analyze performance drivers, identify opportunities, and support investment decisions
• Communicate complex findings to technical and non-technical collaborators, including senior leadership
• Mentor other analysts and share methodologies to support consistent analytical standards across the team
• Collaborate with Data Scientists on measurement, experimentation, and modeling projects, providing analytical and data foundations

• 4+ Years of professional experience in Data Analytics, Business Intelligence, Analytics Engineering, or a related role
• Independently deliver analytical projects and work directly with business collaborators
• Own or significantly contribute to analytical data models, metric definitions, or reporting foundations
• Advanced SQL skills and experience with large, complex datasets
• Proficiency in Python for data analysis, automation, and analytical workflows
• Strong understanding of data modeling, data quality, and analytical data structures
• Translate business requirements into data requirements and collaborate with Data Engineering teams
• Proficiency with a data visualization or BI tool such as Looker, Tableau, or similar
• Good understanding of statistical analysis and experimentation
• Demonstrate ownership, curiosity, attention to detail, accuracy, reliability, and the ability to work independently with ambiguity and changing priorities
• Strong collaboration and communication skills across technical and non-technical teams
• Willingness to support the technical growth of other analysts and maintain high analytical standards
• Будет плюсом: familiarity with digital marketing data, attribution, and acquisition metrics

• Compensation and benefits details will be discussed during the recruitment process
• May be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits, depending on role and location