User Acquisition Data Analyst (Mobile Gaming)
Location: El Segundo, CA (Hybrid/Onsite).
Employment Type: Contract with potential for extensions.
About the Opportunity:
A leading entertainment and consumer products organization is seeking a User Acquisition Data Analyst to support its Mobile Growth Marketing team. This role will focus on analytics, forecasting, reporting, and performance optimization for a portfolio of highly recognized mobile gaming products.
The ideal candidate will be an experienced analyst who can quickly step into an established analytics environment, maintain critical reporting and forecasting processes, provide actionable insights, and support ongoing user acquisition efforts across multiple mobile titles.
Key Responsibilities:
Required Qualifications:
- 3-5 years of experience in marketing analytics, business intelligence, or data science supporting mobile user acquisition campaigns.
- Advanced SQL skills, preferably with experience working in BigQuery environments.
- Strong experience creating dashboards and visualizations using Tableau, Looker Studio, Mixpanel, or similar BI tools.
- Deep understanding of mobile marketing attribution, measurement platforms (MMPs), SKAdNetwork (SKAN), and app store reporting.
- Experience analyzing mobile user acquisition performance and communicating insights to marketing, finance, and executive stakeholders.
- Ability to work independently in a fast-paced, data-driven environment with minimal onboarding.
Preferred Qualifications:
- Experience in mobile gaming analytics.
- Knowledge of hybrid monetization models, including in-app purchases (IAP) and in-app advertising (IAA).
- Proficiency with Python or R for statistical analysis and process automation.
- Experience designing and evaluating A/B tests, geo-lift studies, or incrementality experiments.
- Familiarity with data reconciliation across multiple attribution and reporting sources.
- Strong understanding of mobile user behavior and growth marketing strategies.
Desired Skills:
- Advanced analytical and problem-solving abilities.
- Strong communication and presentation skills.
- Forecasting and modeling expertise.
- Attention to detail and data accuracy.
- Ability to translate complex data into business recommendations.
- Experience working with cross-functional stakeholders.