Responsibilities

• Partner with cross-functional stakeholders to define measurement strategies and key performance indicators for marketing campaigns
• Analyze digital marketing performance, including acquisition, reactivation, and retention metrics
• Develop and execute campaign post-mortems to evaluate effectiveness and identify optimization opportunities
• Build and maintain attribution models to connect marketing inputs (spend, impressions) to downstream outcomes (engagement, revenue)
• Design and analyze marketing funnels to uncover performance gaps and growth opportunities
• Create audience segmentation frameworks to support targeted marketing efforts
• Collaborate with data engineering and analytics teams to build scalable data pipelines, reporting solutions, and automation
• Design, implement, and maintain ETL processes for large-scale data systems
• Develop and optimize database structures and queries for efficient data access and analysis
• Present insights and recommendations to stakeholders, influencing marketing and investment decisions
• Ensure data accuracy, troubleshoot issues, and continuously improve data quality and reporting processes

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
• 8–10 years of experience in data science, analytics, or a related field
• Strong experience in marketing analytics, particularly in digital or product-focused environments
• Proficiency in SQL and at least one scripting language (e.g., Python)
• Experience working with large-scale datasets and database technologies
• Solid understanding of ETL processes and data pipeline development
• Experience building and interpreting attribution models and marketing performance metrics
• Strong analytical thinking, problem-solving, and troubleshooting skills
• Excellent written and verbal communication skills, with the ability to present insights to non-technical stakeholders
• Proven ability to influence decision-making through data-driven insights

Preferred

• Experience working in gaming, entertainment, or digital product ecosystems
• Familiarity with Databricks or similar cloud-based data platforms
• Experience partnering closely with marketing and finance teams on budget planning and ROI/ROAS optimization
• Knowledge of experimentation frameworks (A/B testing) and causal inference methods
• Experience building scalable reporting dashboards and automation solutions
• Demonstrated ability to lead stakeholder conversations and drive alignment across teams

Benefits

• Medical, dental, and vision coverage
• Flexible Spending Account
• 401k program
• Competitive PTO offerings
• Parental Leave