Growth Analyst

AppLovin AppLovin · Media · Palo Alto, CA · Business Operations - eCommerce

This role is for a Growth Analyst focused on enhancing an eCommerce product by leveraging data analysis, identifying growth opportunities, and collaborating with cross-functional teams. While the company uses AI solutions, the core craft of this role is data analysis and product growth, not AI/ML model development.

What you'd actually do

  1. Apply curiosity and data-driven problem solving to uncover insights and execute top growth opportunities for the company.
  2. Help define and shape the company’s business intelligence products and tools, informed by industry standards and product knowledge.
  3. Define and analyze key metrics to achieve success for our partners.
  4. Monitor daily performance against these key metrics to identify opportunities and anomalies.
  5. Become a mobile & e-commerce advertising guru and expert on our suite of products.

Skills

Required

  • Bachelor’s degree or higher in a quantitative discipline (e.g., statistics, engineering, or computer science)
  • Proficiency in SQL, Python/Pandas, and Excel
  • 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

  • Airflow
  • web development
  • HTTP requests
  • apply machine learning techniques to marketing measurement challenges

What the JD emphasized

  • quantitative discipline
  • SQL, Python/Pandas, and Excel
  • large data sets
  • data analysis in an online environment
  • analytical projects end-to-end
  • analyze data, uncover insights, and communicate findings effectively
  • statistical methodologies
  • natural curiosity
  • innovative solutions
  • prioritization skills
  • manage competing demands
  • deliver results
  • Flexible team player
  • drive, creativity, and initiative