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AppLovin 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. Your natural problem-solving instincts and passion for discovery will help you identify potential challenges and turn them into opportunities for growth. This position requires close collaboration with various internal teams such as business development, engineering, and measurement partnerships, and also provides the opportunity to work directly with AppLovin’s leadership to help shape and implement our strategic initiatives.
Job Responsibility:
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
Requirements:
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
Nice to have:
Previous experience with and/or knowledge of the following are a plus: Airflow, web development, HTTP requests
Demonstrated ability to apply machine learning techniques to marketing measurement challenges
What we offer:
competitive total compensation package with a pay for performance rewards approach
equity, and other forms of incentive compensation (as applicable)
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