Growth Analyst

We are looking for a hungry and data-oriented problem solver to join our Consumer Growth Operations team. In this role, you will leverage your curiosity and analytical mindset to work with our measurement partners and their platforms, uncovering insights and opportunities to enhance the measurement of AppLovin campaigns.  Your natural problem-solving instincts and passion for discovery will help you identify potential challenges and turn them into opportunities for growth. You will collaborate with various internal teams, including Business Development and Engineering, to drive meaningful growth for our top consumer and e-commerce advertising partners. This position also provides the opportunity to work directly with AppLovin’s leadership, including VPs and Directors across several teams, and to learn from thought leaders in the industry.

Please note that this role requires onsite presence at our office.

Responsibilities

• 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 the frameworks that 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, so every analysis makes the next one faster and every test sharpens the model.
• Work across measurement partners, attribution platforms, and internal data sources to improve signal quality and sharpen how we measure performance.
• Build deep fluency in mobile and web advertising, sharpen your expertise on our product suite and where the industry is heading, and partner with engineering to identify and build high-impact features that keep us ahead.
• Help define and shape our business intelligence products and tools, grounded in real-world insights from working directly with partners and data.

Basic Qualifications

• 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

Preferred Qualifications

• Previous experience in a start-up environment or similar fast-paced setting
• Basic understanding of data structures
• Proven interest in technology and its applications

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

 

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com

 

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.  If you’re applying for a position in California, learn more here.

 

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

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