Data Analyst, User Acquisition (Digital Gaming)

Mattel•El Segundo, CA

1d•$80,000 - $125,000

About The Position

As a User Acquisition Data Analyst on the Mobile Growth Marketing team, you’ll play a pivotal role in scaling our mobile gaming portfolio. You’ll architect and maintain analytics infrastructure, conduct advanced statistical analyses, and deliver actionable insights that drive performance across user acquisition, creative optimization, and lifecycle marketing. This role is ideal for a proactive analyst who thrives in fast-paced environments and is excited to build from the ground up in a privacy-first ecosystem.

Requirements

3–5 years of experience in marketing analytics or data science roles supporting mobile User Acquisition
Proven expertise in hybrid monetization models (IAP + IAA) and deep understanding of mobile gaming user behavior.
Advanced proficiency in SQL (BigQuery); experience with Python or R for statistical modeling and automation is a strong plus.
Skilled in data visualization and dashboarding using tools like Mixpanel, Looker, or Tableau.
Solid foundation in applied statistics, including A/B testing, experiment design, and causal inference.
Hands-on experience with SKAdNetwork (CV schema design, postback decoding).
Strong grasp of performance KPIs (CPI, ROAS, retention, LTV) and digital marketing principles across DSPs and ad networks.
Excellent communication skills to translate complex data into actionable insights for technical and non-technical stakeholders.
Passion for mobile gaming and ability to thrive in a fast-paced, data-driven, privacy-centric environment.
Bachelor’s degree in a quantitative field (Statistics, Economics, Math, Computer Science) or equivalent practical experience.

Responsibilities

Analyze large-scale marketing datasets using tools like BigQuery, Mixpanel, and Singular to deliver weekly insights on channel efficiency, optimization levers, and media mix performance.
Build and maintain dynamic dashboards with cohort reporting, ROAS tracking, retention metrics, and performance trends across attribution data sources.
Conduct deep-dive analyses to uncover growth opportunities, inform UA strategy, and support cross-functional decision-making.
Ensure data integrity across Firebase, MMPs, SKAN, App Store Connect, and external pipelines through reconciliation, schema validation, and standardized taxonomy.
Evaluate asset-level performance (IPM, CVR, CTR, engagement metrics) to guide creative iteration and concept testing in partnership with design and UA teams.
Design and analyze A/B tests, geo-lift studies, and incrementality experiments using robust statistical methodologies to quantify campaign impact.
Collaborate with internal and external data teams to evolve attribution models, manage SKAN conversion schemas, and prepare for Privacy Sandbox integration.
Partner with UA and Finance to develop short- and long-range spend/return forecasts, leveraging historical performance and predictive signals to support campaign planning and budget allocation.
Act as a strategic liaison between Growth Marketing and central analytics, product, and data engineering teams to ensure alignment on data architecture, taxonomy, and reporting standards.
Monitor industry trends, competitor UA strategies, and market dynamics to inform campaign planning, creative direction, and channel prioritization.