Live opening · Posted 6 hours ago
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Description supplied by the original job listing.
The Opportunity:
Mattel Games Studios is seeking an experienced Data Analyst, LiveOps to take a key role in driving meaningful insights and providing recommendations to impact our business growth for a portfolio of upcoming games. The role will be supporting our game team and ensuring we are taking a data-driven approach towards success. This role will be responsible for taking projects end-to-end, from extracting data, building dashboards and communicating learnings to the broader team. The ideal candidate has a passion for mobile and free-to-play games, with a strong understanding of core F2P mechanics, monetization systems, and LiveOps strategies.
What Your Impact Will Be:
Provide best-in-class support and collaborate with the LiveOps team to optimize game performance such as game features, player behavior and economy balancing
Analyze game performance across all stages of the development lifecycle and post launch, turning game data into actionable insights that drive improvements to retention, engagement and monetization
Design, run and analyze A/B tests to validate hypotheses for new features, in-game events, or promotions in collaboration with the LiveOps and Design teams
Build and maintain clear, actionable data visualizations and dashboards to track game KPIs
Help establish best practices and build publishing standards for telemetry and data analysis
Drive the execution of all analytics initiatives with precision and attention to detail
Collaborate with internal and external teams to help implement game telemetry to track game performance
Write ad-hoc SQL queries to extract and prepare data for dashboard visualization
2+ Years of experience, preferably in F2P Mobile Gaming or data-driven field
Proficiency in data visualization using tools like Mixpanel, Tableau to create dashboards powering KPI evaluation at both the detail team level and summary executive level
Expert SQL proficiency in BigQuery, MySQL and ability to manage complex data sets efficiently
Solid experience with programming in Python
Strong foundation in applied statistics, such as A/B testing to validate and inform recommendations
Demonstrated ability to analyze complex datasets and derive actionable conclusions
Experience with experimentation design, execution, analysis in a LiveOps environment
Understanding of data and how it translates to unique player experiences
Comprehension of core KPI impact on product performance, especially when it comes to engagement, retention and monetization
Experience with database schema design
Ability to effectively communicate findings and recommendations to stakeholders of all levels, presenting insights clearly and concisely
Bachelor’s or Master’s Degree, preferably in Mathematics, Statistics, Business, or a related field
Employment type
Full-time
Work arrangement
No
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