AppLovin’s Measurement Analyst sits at the crossroads of platform data, third‑party measurement, and internal attribution, turning messy signals into actionable insights for advertisers and...
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AppLovin’s Measurement Analyst sits at the crossroads of platform data, third‑party measurement, and internal attribution, turning messy signals into actionable insights for advertisers and partners. Expect heavy SQL and Python work (pandas, numpy, sklearn, matplotlib) across MMM, MTA, incrementality and post‑purchase studies, with an insistence on understanding assumptions and limitations. You’ll translate analytics into business strategy, collaborate with Partnerships, Marketing Science and Business Development, and build robust tracking to monitor tests and campaigns. The role sits in AppLovin’s fast‑growing ecommerce beta, a scale story that helps brands reach 150M+ U.S. daily users and $1B‑plus run rate in ad spend, but that scale comes with noisy data and lots of edge cases. The market rewards real data wranglers who can challenge assumptions and communicate clearly; the salary range in California is $107k–$161k, reflecting a competitive but not exotic package.
AppLovin's Growth Analyst role sits at the crossroads of analytics and business partnering in a fast-growing mobile ads and ecommerce stack. The job promises end-to-end analytical impact: define...
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AppLovin's Growth Analyst role sits at the crossroads of analytics and business partnering in a fast-growing mobile ads and ecommerce stack. The job promises end-to-end analytical impact: define metrics, monitor daily performance, collaborate across Product, Engineering, and Marketing, and translate findings into action for leadership. It requires solid SQL, Python/Pandas, and Excel, comfort with large data sets, and the ability to shape BI products while staying curious about the 'why' behind the numbers. The minimum is traditional quantitative chops; preferred includes Airflow and even ML for marketing measurement. The market signal is mixed: solid upside if you like cross-functional work and a data-driven product cadence, but the base pay in California ($80k-$120k) is modest for Bay Area expectations, and the role's scope can blur into many domains. Still, real-world impact seems plausible if you can resist buzzword fatigue.
AppLovin’s Measurement Analyst sits at the crossroads of platform data, third‑party measurement, and internal attribution, turning messy signals into actionable insights for advertisers and partners. Expect heavy SQL and Python work (pandas, numpy, sklearn, matplotlib) across MMM, MTA, incrementality and post‑purchase studies, with an insistence on understanding assumptions and limitations. You’ll translate analytics into business strategy, collaborate with Partnerships, Marketing Science and Business Development, and build robust tracking to monitor tests and campaigns. The role sits in AppLovin’s fast‑growing ecommerce beta, a scale story that helps brands reach 150M+ U.S. daily users and $1B‑plus run rate in ad spend, but that scale comes with noisy data and lots of edge cases. The market rewards real data wranglers who can challenge assumptions and communicate clearly; the salary range in California is $107k–$161k, reflecting a competitive but not exotic package.
AppLovin's Growth Analyst role sits at the crossroads of analytics and business partnering in a fast-growing mobile ads and ecommerce stack. The job promises end-to-end analytical impact: define metrics, monitor daily performance, collaborate across Product, Engineering, and Marketing, and translate findings into action for leadership. It requires solid SQL, Python/Pandas, and Excel, comfort with large data sets, and the ability to shape BI products while staying curious about the 'why' behind the numbers. The minimum is traditional quantitative chops; preferred includes Airflow and even ML for marketing measurement. The market signal is mixed: solid upside if you like cross-functional work and a data-driven product cadence, but the base pay in California ($80k-$120k) is modest for Bay Area expectations, and the role's scope can blur into many domains. Still, real-world impact seems plausible if you can resist buzzword fatigue.