Data Analyst

Join our team at AppLovin and collaborate with some of the world’s most renowned mobile app developers and publishers, across various industries. You’ll have the opportunity to work on innovative AdTech alongside a lean group of experienced professionals.

As a member of the Array team, you’ll contribute to Array, a seamless, end-to-end app management suite that delivers more value for mobile operators and end users by leveraging AppLovin’s massive app ecosystem. You’ll work closely with Product and Engineering teams to analyze product performance, identify actionable improvements and follow those improvements through development and deployment. You’ll work closely with Senior Leadership to conceptualize and execute innovative product and business ideas that drive growth and success for our clients. This is an opportunity to learn how to approach and solve complex problems, and have a direct impact on increasing client revenues and outcomes. You’ll become an industry-expert on the mobile AdTech industry.

We offer a rewarding career path with opportunities for growth, impactful work, and a supportive team environment. At AppLovin, you’ll contribute to the success of some of the world’s most popular mobile apps across industries, while enjoying a comprehensive package that reflects our commitment to valuing and empowering our team. Apply now to join our dynamic and driven team at AppLovin.

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

Responsibilities:

• Analyze the funnels of various products, identifying trends and areas for optimization
• Collaborate with Product and Engineering teams to drive product improvements and A/B tests
• Monitor daily performance of key metrics to identify growth opportunities and anomalies
• Stay relevant on industry trends and work with the product team to develop high-impact internal features

Basic Qualifications:

• 2-4+ years of experience in product development, product analytics, product strategy or similar analytical roles.
• 1-3+ years of hands-on experience working with large datasets in SQL.
• Experience creating business intelligence dashboards and reports using tools such as Looker, Tableau, or Power BI.
• Strong analytical skills with a demonstrated ability to extract actionable insights from complex datasets.
• Highly detail-oriented with excellent organizational and prioritization abilities for managing multiple tasks and projects simultaneously.
• Excellent communication skills, particularly the ability to summarize and present complex technical information to non-technical stakeholders.
• Bachelor’s degree or equivalent work experience in a relevant field (e.g., Computer Science, Mathematics, Statistics, Economics, etc.).

Preferred Qualifications:

• Proficiency in Python (e.g., pandas, numpy) for data analysis and Jupyter Notebooks or similar tools.
• Proven experience developing and implementing custom BI solutions or tools tailored to specific business needs.
• Familiarity with Python data visualization libraries (e.g., matplotlib, seaborn, plotly).
• Previous experience working with datasets related to user behavior (e.g., dating apps, gaming, e-commerce).
• Experience with A/B testing methodologies and analyzing experiments.
• Knowledge of high-growth tech environments or performance advertising.
• A proactive, innovative approach to problem-solving with minimal supervision.