Growth Analyst

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

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.

• →Work with measurement partners and platforms to identify and address issues and opportunities to enhance campaign measurement
• →Apply curiosity and data-driven problem solving to uncover insights and execute top growth opportunities for the company
• →Define and analyze metrics to achieve success for our partners
• →Monitor daily performance against key metrics to identify opportunities and anomalies
• →Become a mobile & consumer advertising guru and expert on our suite of products
• →Stay relevant on industry trends and work with the engineering team to develop innovative, high-impact features
• →Help define and shape the company’s business intelligence products and tools, informed by real-world insights.

• 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

• 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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