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AppLovin

Business Operations Analyst

Toronto +1 · Full-time · Posted Oct 21, 2026

Location
Toronto
Palo Alto, CA
Experience
At least two years of relevant professional experience.
Education
Bachelor’s degree in a field such as engineering, statistics, mathematics, computer science, or physics, or substantial technical work, research, or projects.

About the job

Provides technical and operational support to AppLovin’s Business Operations team by maintaining workflows, investigating issues, reviewing code, and analyzing product and advertising data.

What you'll do

  • Debug, write, and maintain workflow code, integrations, and automations; review BizOps code changes for reliability and correctness.
  • Investigate product and system issues, document evidence, and coordinate actionable fixes with Engineering and Operations.
  • Manage supporting GCP services and Salesforce integrations, and analyze product features, experiments, and operational data.

What they ask for

  • At least two years of relevant professional experience in business operations, technical operations, analytics, software development, or a related field.
  • Technical ability demonstrated through a relevant bachelor’s degree or substantial technical work, research, or projects.
  • Practical experience with Python, SQL, Git, pull-request workflows, APIs, and managing GCP services and workflows.
  • Experience with statistical analysis and data science techniques, and advertising technology.

Nice to have

  • Experience supporting internal tools, reviewing code, or coordinating technical work across teams.
  • Experience with Salesforce administration or integrations; production automations, data pipelines, or shared internal applications; or least-privilege access and sensitive data handling.

Pay

$110,000 — $160,000 CAD (base pay range)

Tools

Python, SQL, Git, GCP, Salesforce, APIs, Slack

AI focus

Uses AI coding and workflow tools to develop, review, and maintain code; evaluates AI-generated changes for correctness, security, maintainability, and business alignment. The company may also use AI-assisted tools to help identify and evaluate candidates; human reviewers make hiring decisions.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)