Senior Compensation Analyst

AppLovin
Palo Alto, CAPosted 18 March 2026

Tech Stack

Job Description

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI 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. Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE . Position Overview We are seeking a Senior Compensation Analyst with deep expertise in People Analytics and Compensation to lead data-driven decision-making across the organization. This role requires advanced proficiency in Google Sheets, strong analytical and modeling capabilities, and the ability to influence compensation strategy on a global scale. The ideal candidate is a strategic thinker who combines technical excellence, business acumen, and deep knowledge of global compensation frameworks. This individual will independently drive complex analyses, advise stakeholders, and shape programs that support equitable and competitive talent strategies. Key Responsibilities Lead the design, development, and maintenance of advanced Google Sheets dashboards and models for workforce metrics, compensation benchmarking, and headcount planning. Own and deliver complex analyses across multiple geographic regions, providing strategic insights on global compensation structures, pay equity, and market competitiveness. Drive the annual compensation review process, including salary planning, bonus design, equity refresh cycles, and financial impact modeling. Act as a strategic partner to HR Business Partners, Talent Acquisition, Finance, and leadership to align compensation strategies with business objectives. Translate complex data into clear, compelling executive-level insights, recommendations, and presentations. Required Qualifications 5+ years of experience in data analysis, with significant experience in HR, People Analytics, or Compensation. Expert-level proficiency in Google Sheets, including advanced modeling, complex formulas, pivot tables, QUERY functions, ARRAYFORMULA, and cross-sheet integrations. Deep understanding of compensation principles, including market pricing, job leveling, pay bands, salary structures, and equity programs. Proven ability to lead complex projects, influence stakeholders, and drive strategic decisions. Exceptional data visualization, storytelling, and executive communication skills. Strong attention to detail, accuracy, and discretion when handling sensitive employee data. Preferred Qualifications Bachelor’s degree in data Analytics, Business, Economics, Statistics, or related field. Experience with HRIS systems (e.g., Workday, SAP SuccessFactors, ADP, or similar). Experience with AirTable Extensive experience with global compensation practices across multiple regions and currencies. Expertise in pay equity analysis, compensation benchmarking tools, and survey data (e.g., Mercer, Radford, Culpepper). Prior experience in a high-growth or global organization supporting Total Rewards or People Analytics functions. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation ... (truncated, view full listing at source)
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