Analyst, Content Safety

About the job

In this role, you will be responsible for safeguarding the Google Ads ecosystem. This role is a blend of technical data analysis, strategic cross-functional leadership, and direct investigative work. You will use data to predict their next moves, influence how engineering teams build detection systems, and ensure that safety measures do not disrupt the experience for legitimate advertisers.

You will partner with key stakeholders to optimize operational performance, scale cross-functional initiatives, and lower abuse rates. You will deliver high-impact solutions with a focus on user trust, operational efficiency, and abuse mitigation strategies. You will align with product, policy, and engineering teams to implement scalable enforcement frameworks.

US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Collaborate with cross-functional groups such as Product Manager (PM), Engineering, Sales and Legal to drive projects that increases users' safety and provide better online experience through Google Ads.
• Execute complex queries and analyses, build visual models, and construct presentations on abuse trends to aid in fraud prevention and influence change in existing abuse detection systems without compromising advertiser experience.
• Conduct investigations to catch fraudsters, enforce our product policies, learn scam patterns/ trends and identify product vulnerabilities.
• Identify automation and efficiency opportunities and drive solutions through analysis or cross-functional partnerships.
• Provide periodic on-call coverage and address escalations from both internal and external stakeholders within established service level agreements. Be exposed to some adult content and other potentially disturbing material during the course of these duties.

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.

Preferred qualifications:

• Master's degree or PhD in a quantitative field like engineering, computer science, mathematics, or statistics.
• Experience with scripting and coding (e.g., C/C++, Python, Java).
• Experience with fraud or policy investigations, fraud risk management, Internet advertising, or e-commerce.
• Experience in roles related to business analysis, statistical analysis/machine learning/AI.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.