Business Operations Analyst

AppLovin

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Palo Alto, CA
Salary
$105,300–$156,465 / yr
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $129k
This role $131k
$90k $165k
below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $103,828–$155,000 — the blue band above. At the midpoint, this role pays about $131k versus about $129k for comparable roles.

Based on 240 similar postings.

Employer

About AppLovin

AppLovin enables businesses to advertise profitably with marketing technologies that attract customers, increase revenue, and track ad performance.

AppLovin currently has 6 open roles on FindRole.

Listed pay typically runs $133,000–$211,000 across 6 roles with salary data.

Most-posted roles

View all roles at AppLovin

At a glance

TL;DR · Business Operations Analyst

The Business Operations Analyst joins the Business Operations team to provide technical and operational support for the mobile-advertising business. This role serves as a practical link between business and technical teams, where you will review code, debug existing workflows, and translate complex business problems into actionable requests for Engineering and Operations. You will write and maintain Python code, SQL workflows, and automations while managing Google Cloud Platform services and Salesforce integrations. Key responsibilities include investigating product bugs, reviewing AI-generated pull requests, and performing statistical analysis on advertising data. You must possess practical experience with Git, APIs, and data science techniques to resolve discrepancies across internal systems and partner platforms. The role requires a deep understanding of campaign delivery, attribution, measurement, and monetization within the mobile ecosystem.

What you'll do

  • Write and maintain Python code, SQL workflows, integrations, and automations to support team operations.
  • Debug issues in existing workflow code, integrations, and data processes to identify and implement fixes.
  • Review BizOps pull requests for correctness, security, and alignment with business requirements, including AI-generated code.
  • Investigate product bugs and discrepancies by gathering evidence through code, logs, and data.
  • Write clear technical tickets for Engineering and Operations that explain problems, business impacts, and expected outcomes.
  • Manage Google Cloud Platform (GCP) services, including service accounts, permissions, secrets, and deployments.
  • Support Salesforce workflows and integrations by programming against its application programming interfaces (APIs).
  • Analyze product features and advertising data using appropriate statistical methods to interpret results accurately.

What we're looking for

  • At least two years of relevant professional experience in business operations, technical operations, analytics, software development, or a related field.
  • Bachelor’s degree in engineering, statistics, mathematics, computer science, or physics, or demonstrated technical ability through substantial work, research, or projects.
  • Practical experience with Python, SQL, Git, pull-request workflows, and APIs, including investigating and debugging existing code.
  • Hands-on experience managing GCP services and workflows, including permissions, credentials, configuration, and troubleshooting.
  • Experience applying statistical analysis and data science techniques, including selecting appropriate methods and interpreting results accurately.
  • Experience in advertising technology, including campaign delivery, attribution, measurement, mediation, monetization, or the iOS and Android ecosystems.
  • Effective use of AI coding and workflow tools to develop, review, and maintain substantial volumes of code.
  • Experience supporting internal tools, reviewing others' code, or coordinating technical work across business, Engineering, and Operations teams (preferred).

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