Growth Analyst

About App Lovin

App Lovin 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 App Lovin, visit

Fortune recognizes App Lovin 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).

App Lovin is the market leader in performance advertising for mobile games. In 2024, we expanded into the ecommerce space, enabling brands to reach 150M+ U.S. daily active users in a variety of mobile games—scale that rivals the largest social platforms. In Q4, we reached a $1 billion annual run rate in gross advertiser spend in the ecommerce category alone.

Learn more about our recent eCommerce Axon Ads Manager launch: (Use the "Apply for this Job" box below)..

App Lovin is seeking a highly quantitative Growth Analyst to join our team. In this role, you will leverage your curiosity, skills, and analytical mindset to uncover insights and opportunities that enhance our eCommerce product. This position requires close collaboration with various internal teams such as business development, engineering, and measurement partnerships, and it provides the opportunity to work directly with leadership to shape and implement our strategic initiatives.

• Apply curiosity and data‑driven problem solving to uncover insights and execute top growth opportunities for the company.
• Help define and shape the company’s business intelligence products and tools, informed by industry standards and product knowledge.
• Define and analyze key metrics to achieve success for our partners.
• Monitor daily performance against these key metrics to identify opportunities and anomalies.
• Become a mobile & e‑commerce advertising guru and expert on our suite of products.
• Stay relevant on industry trends and work with the engineering team to develop and test innovative, high‑impact features.
• Collaborate with cross‑functional teams (Product, R&D, Engineering, Creative, and Marketing) to identify opportunities for new features, products, and partnerships.
• Partner with the client teams to drive strategic initiatives and establish “learning agendas” that help clients improve business outcomes.
• Translate complex research results into clear, actionable insights for a general audience.

• Bachelor’s degree or higher in a quantitative discipline (e.g., statistics, engineering, or computer science).
• Proficiency in SQL, Python/Pandas, and Excel and comfortable working with large data sets.
• Thorough understanding of data structures.
• Significant experience in data analysis in an online environment, with direct exposure to scoping and executing analytical projects end‑to‑end.
• Demonstrated ability to analyze data, uncover insights, and communicate findings effectively to both technical and non‑technical audiences.
• Demonstrated experience applying statistical methodologies to real‑world problems.
• A natural curiosity to explore the “why” behind the data and drive innovative solutions.
• Strong prioritization skills to manage competing demands and deliver results.
• Flexible team player who can use drive, creativity, and initiative to move the organization forward.

• Previous experience with and/or knowledge of Airflow, web development, HTTP requests.
• Demonstrated ability to apply machine learning techniques to marketing measurement challenges.

Base Pay Range (California): $80 000 – $120 000 USD.

App Lovin provides a competitive total compensation package with a pay‑for‑performance rewards approach. Depending on the position offered, equity and other incentive compensation may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.

App Lovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any payment(s). If you are contacted through unofficial channels (such as Whats App or…