AdTechTalent
Data Science24 days agoOn-site

AppLovin

Growth Analyst

SQLExceldata analysisstatistical methodologiesbusiness intelligencemobile advertisingweb advertisingdata pipelinesgrowth analyticsmeasurement platforms

Key details

Salary

$105K – $156K

Employment type

Full-time

Seniority

Entry

Years experience

0-2

Location

Palo Alto, United States

Full job description

Join AppLovin's Consumer Growth Operations team as a data-oriented problem solver. Responsibilities include driving analytics and platform growth, turning campaign data into growth decisions, partnering with engineering to deliver solutions, improving measurement quality, and shaping business intelligence tools. Requires 1-3 years experience with data or technology, proficiency in SQL and Excel, strong analytical and communication skills, and a bachelor's degree in a relevant field. This is an on-site full-time role based in Palo Alto, California.

What you'll do

  • Drive analytics and platform growth end-to-end, from working across data pipelines and tooling to the insights that land in front of BD, partners, and leadership
  • Turn campaign data into growth decisions: identify high-value segments, surface emerging opportunities, and build frameworks to help the team move faster and smarter
  • Partner with engineering to scope, test, and ship, translating real-world business problems into technical requirements and seeing them through to production
  • Build compounding insight loops by establishing systems where learnings are captured, shared, and reused
  • Work across measurement partners, attribution platforms, and internal data sources to improve signal quality and sharpen performance measurement
  • Build deep fluency in mobile and web advertising, sharpen expertise on product suite and industry trends, and partner with engineering to build high-impact features
  • Help define and shape business intelligence products and tools grounded in real-world insights from partners and data

Requirements

  • 1 – 3 years of experience working with data or technology
  • Bachelor’s degree or higher in Computer Science, Information Systems, Business, Economics, or equivalent analytical discipline
  • Demonstrated ability to analyze data, uncover insights, and communicate findings effectively
  • A natural curiosity to explore the “why” behind the data and drive innovative solutions
  • Strong prioritization skills to manage competing demands and deliver results
  • Strong proficiency in SQL and Excel and comfortable working with large data sets
  • Flexible team player who can use drive, creativity, and initiative to move the organization forward
  • Demonstrated experience applying statistical methodologies to real-world problems
  • Ability to communicate complex results with clarity to both technical and non-technical audiences

Tech stack

SQLExceldata pipelinesbusiness intelligence tools

Benefits

Equity eligibleMedical, Dental, Vision, Life, Disability insurance401(k) Retirement PlanUnlimited Discretionary Time Off10 paid holidays per year80 hours paid sick leave per year

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