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Palo Alto, CAPosted February 13, 2026

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Job Description

About AppLovin

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.

About AppLovin’s eCommerce Team

We are powering the next wave of eCommerce growth. Specializing in performance advertising, we help brands achieve profitable growth by connecting them to over 1 billion daily users across thousands of the world’s top mobile games. This scale is driven by Axon (https://axon.ai), AppLovin’s advertising platform, which enables businesses of all sizes to find their ideal customers and maximize ROI.

AppLovin’s global team combines people from different backgrounds and perspectives, united by a shared ambition to always pursue excellence and win together in a fast-moving market. We are intentional about the culture we are building and seek candidates who are outstanding in their own right while remaining deeply committed to the success of others.

 

About the Role

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.

 

Key Responsibilities

  • 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.
  • Experience in advertising, digital marketing, or eCommerce analytics.

Minimum Qualifications

  • Strong SQL skills and experience with large

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