opengreenhouseqplusequality
Business Operations, Strategy & Product Analyst
AppLovin
LocationToronto
Last observed2026-06-13 05:24:04.739321
Job idqplusequality-applovin:greenhouse:4660609006
About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising 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 . About the Team AppLovin’s global team combines people from different backgrounds and perspectives, united by a shared ambition to always pursue excellence and win together in a fast-moving market. We are intentional about the culture we are building and seek candidates who are outstanding in their own right while remaining deeply committed to the success of others. AppLovin’s BizOps team is a small, high-impact group. This is a unique opportunity to join a fast paced, intellectually curious team that thrives on solving complex, unstructured problems. We are plugged into various parts of the organization from Product and Engineering to Creative Services and Business Development, and regularly collaborate with these teams and senior leadership to solve challenging business issues and work on high impact projects. We are looking for a highly quantitative self-starter who is energized by rapid change, comfortable with ambiguity, and motivated to make a direct and measurable impact. The ideal candidate is curious with an analytical mindset and natural problem-solving instincts that enable them to uncover insights, identify growth opportunities, and surface potential challenges. They can structure complex problems independently and combine creativity with analytical rigor to move the team and business forward. PLEASE NOTE THIS OPPORTUNITY IS LOCATED IN OUR TORONTO OFFICE AND REQUIRES IN PERSON PRESENCE. About the Role Apply data-driven problem solving to help scale some of the world’s largest consumer apps against key KPIs. Identify growth opportunities and translate insights into clear execution plans that drive measurable business impact. Operate at both the micro and macro level. Identifying trends, challenges, and untapped growth opportunities across the organization. Dive into large, complex datasets using tools such as SQL, LLMs, Python etc. to break down ambiguous problems and uncover insights and root causes. Transform raw data into clear, actionable recommendations that drive strategy and unlock growth opportunities. Own and execute high impact projects that improve operational efficiency and unlock new revenue streams. Partner closely with Business Development teams to roll out scalable, repeatable solutions that deliver measurable results. Design and implement alerting systems, processes, dashboards and frameworks that proactively identify issues, triage widespread problems, and surface opportunities before they become obvious - helping the organization move faster and smarter. Collaborate cross-functionally with Senior Executives, Product, Engineering and Creative Services teams to test features, validate new tools, and shape high impact initiatives. Identify systemic gaps, escalate critical issues, and help inform the development of new products and capabilities. Basic Qualifications 1–3 years of experience in an analytically driven role, ideally in high-growth tech, strategy & ops, product management, investment banking or top-tier consulting. Bachelor’s degree in a quantitative field (e.g., math, computer science, economics, engineering) or from a top-tier bu
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