Business Operations, Strategy & Product Analyst

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.

Introduction

As a Business Operations, Strategy and Product Analyst at AppLovin, you will have the opportunity to work with some of the world’s leading mobile app developers and publishers across various industries. You will play a key role in formulating data-driven strategies for globally scaling client apps and revenues, and be responsible for assisting app publishers in creating and implementing ad revenue strategies that drive the greatest yield for their ad inventory.

You will also apply data-driven problem-solving in launching and managing user acquisition campaigns to help app publishers grow their mobile apps.

Responsibilities

• Assist app publishers in creating and implementing ad revenue strategies that maximize yield for their ad inventory.

• Apply data-driven problem-solving in launching and managing user acquisition (UA) campaigns to help app publishers grow their apps.

• Monitor daily performance of ad revenue and UA campaigns against key KPIs, identifying both growth opportunities and anomalies.

• Analyze and structure large datasets to surface insights and drive business impact.

• Leverage SQL and analytical tools to monitor performance, optimize strategies, and clearly communicate results across teams.

• Run projects that drive operational efficiencies and revenue-generating tactics, working closely with the sales team to roll out scalable solutions.

• Design and implement alerting and reporting systems to proactively identify, triage, and resolve problems while surfacing opportunities for growth.

• Partner with internal product teams to inform the development of high-impact features and tools.

Basic Qualifications

• 2–3 years of experience in an analytically driven role, ideally in high-growth B2B technology companies, high-growth tech, finance, strategy & ops, product, product-analytics, or top-tier consulting

• Strong analytical ability and experience working across complex quantitative problems and large datasets

• Demonstrated ability to communicate technical and analytical insights clearly to non-technical stakeholders.

• Solid track record of working with senior leadership and cross-functional teams.

• Highly detail-oriented and organized, with the ability to juggle multiple projects and deadlines.

• Bachelor’s degree or higher from a reputable university (or equivalent work experience).

Preferred Qualifications

• Bachelor’s degree from a top-tier business school or in a quantitative field (e.g., math, computer science, economics, engineering). Graduate degree preferred

• SQL (high degree of proficiency)

• Python skills for automation, data analysis, and workflow optimization.

• Proficiency with data visualization tools (e.g., Tableau, Looker, Power BI).

• Familiarity with Git and collaborative data/analytics workflows.

• Experience leveraging GenAI tools (e.g., ChatGPT, Cursor) to accelerate analysis and problem-solving.

• Experience in the mobile app ecosystem, with knowledge of metrics such as ROAS, retention, and LTV curves.

• Proven ability to drive projects from analysis to actionable outcomes with minimal guidance and oversight.

• High-growth tech startup or performance advertising experience is a strong plus.

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

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 package, in addition to dental, vision, and other benefits.

This posting is for a new position.

Canada base pay range (total compensation package will be commensurate with experience)
$79,000—$119,000 CAD

AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.

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 [email protected].

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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