Liftoff helps advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps. Backed by General Atlantic.
About the role
As a Product Analyst at Liftoff, you'll turn complex data into rigorous analysis that informs product decisions across our machine learning-powered platform. You'll own the analytical needs of your product team end to end: identifying the right questions, executing the analysis, and presenting results that shape what gets built.
What they're looking for
- 5+ years of experience in analytics
- Strong SQL skills and proficiency in Python for data analysis
- Experience delivering analytical projects independently, from scoping through to presentation
- Strong communication skills, with the ability to explain analytical results to both technical and non-technical audiences
- Familiarity with BI and visualization tools (e.g., Looker, Tableau, Hex, or similar)
- Degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Engineering, or equivalent practical experience
More about this role
Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand.
Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.
As a Product Analyst at Liftoff, you'll turn complex data into rigorous analysis that informs product decisions across our machine learning-powered platform. You'll own the analytical needs of your product team end to end: identifying the right questions, executing the analysis, and presenting results that shape what gets built. You'll work closely with Product Managers, Data Scientists, and Machine Learning Engineers to define success metrics, evaluate experiments, and understand the drivers of user behavior and advertising performance.
- Source, scope, execute, and present analyses for your product...
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