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AppLovin is seeking a Measurement Analyst to join our Product Partnerships & Measurement team. This role is ideal for someone who is deeply curious about data and metrics—someone who doesn’t just analyze numbers, but strives to understand the nuances, assumptions, and limitations behind them. You’ll play a key role in helping us triangulate across multiple sources of truth—platform data, 3rd-party measurement (MMM, MTA, incrementality, post purchase survey, etc), and internal attribution systems—to uncover actionable insights that drive smarter business and marketing decisions. You’ll collaborate closely with the Partnerships, Marketing Science, and Business Development teams to interpret results, refine methodologies, and translate insights into strategies that drive impact for AppLovin, our partners, and advertisers.
Job Responsibility:
Investigate performance metrics across platform and 3rd-party measurement systems to identify inconsistencies, uncover insights, and drive clarity
Analyze data using SQL and Python (pandas, numpy, sklearn, matplotlib) to extract trends and inform business decisions
Synthesize complex data into clear, actionable insights and communicate them effectively across technical and non-technical audiences
Develop a strong understanding of advertising and commerce ecosystems, including conversion tracking, attribution, media mix modeling and incrementality
Partner with internal and external stakeholders to design and evaluate incrementality tests, and to interpret results and insights from MMM, MTA, brand lift, post-purchase studies, and other measurement frameworks
Ask critical questions, challenge assumptions, and continuously refine the metrics and frameworks used for evaluating performance and provide guidance to advertisers on their learning agendas
Build tracking frameworks to monitor test performance and campaign outcomes
follow up and follow through with advertisers and partners to ensure best-practice setup, proper tracking, and adoption of key learnings
Collaborate cross-functionally to translate analytical findings into business strategies that improve campaign effectiveness and advertiser ROI
Requirements:
Strong SQL skills and experience with large-scale data manipulation
Thorough understanding of data structures
Proficiency with Python for data analysis (pandas, numpy, sklearn, matplotlib)
Significant experience in data analysis in an online environment, with direct exposure to scoping and executing analytical projects end-to-end
Strong communication skills and ability to translate analytical findings into clear business recommendations
Highly curious and detail-oriented, with an investigative mindset and comfort working with messy or incomplete data
Demonstrated ability to manage competing priorities and deliver results in a fast-paced environment
Collaborative and flexible team player who takes initiative and drives continuous improvement
Nice to have:
Experience in advertising, digital marketing, or eCommerce analytics
Demonstrated ability to apply AI techniques to marketing measurement challenges
Hands-on experience with R (for data analysis or modeling) is a plus
What we offer:
dental, vision, and other benefits
equity, and other forms of incentive compensation (as applicable)
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