Mattel Game Studios is looking to leverage advanced analytics to drive growth across its digital gaming portfolio by optimizing user acquisition, engagement, and retention efforts.
Requirements
- Proficiency in data visualization using tools like Mixpanel or Tableau to create dashboards.
- Strong proficiency in SQL (BigQuery) for querying and manipulating large, complex datasets.
- Practical experience using Python or R for data analysis, manipulation, and automation.
- Strong practical experience working with SKAN data, including hands-on management of conversion value schemas and reconciling SKAN performance against other data sources.
- Strong grasp of mobile marketing KPIs (e.g. CPI, ROAS, ARPU, retention, IPM), campaign funnel metrics, and optimization levers.
- Strong foundation in applied statistics, such as A/B testing, to validate and inform recommendations.
Responsibilities
- Analyze large-scale marketing performance datasets, providing weekly insights on channel efficiency and optimization levers.
- Develop and maintain marketing analytics dashboards, ensuring consistency in cohort reporting, LTV curves, and ROAS calculations.
- Perform data reconciliation from various sources such as our MMP, Firebase, SKAdNetwork, and App Store Consoles to ensure data accuracy.
- Maintain and improve existing SQL-based data pipelines that transform raw data into actionable insights.
- Conduct creative analytics by dissecting asset performance (e.g., IPM, CVR, CTR) to help our creative teams iterate on new concepts.
- Partner with marketing managers to analyze the results of A/B tests, incrementality experiments, and campaign lift tests, helping to quantify their impact on our growth.
- Serve as the Growth team's subject-matter expert for SKAN, managing our conversion value schema, monitoring data integrity, and translating SKAN-based performance into actionable insights for the UA team.
Other
- 4+ years in F2P mobile gaming or a similarly data-intensive digital business.
- A curious and proactive mindset with a strong desire to solve problems and a high degree of accountability.
- Excellent communication skills, with the ability to present data-driven findings clearly and concisely.
- Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Math, Computer Science) or equivalent practical experience.
- Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves.
