Google Recruitment 2026

Google

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1 Year1 day ago
Experience1 Year
QualificationAny Degree / Bachelor’s Degree

Key Responsibilities

  • Develop and implement strategies for enforcing YouTube content policies at scale.
  • Use machine learning where appropriate to improve enforcement solutions.
  • Analyze operational performance metrics and identify their underlying drivers.
  • Use programming skills to develop solutions that fit existing product and backend infrastructure.
  • Work closely with Policy and Operations teams to understand changing enforcement requirements.
  • Collaborate with Engineering teams on new features and operational solutions.
  • Provide rapid incident response for abuse-related problems.
  • Analyze incidents and identify root causes.
  • Define and implement mitigation steps.
  • Build a deeper understanding of the abuse landscape and the methods used by abusive actors.
  • Data analysis is a central requirement for this position.
  • Candidates should be comfortable examining data sets, identifying trends, generating summary statistics, and converting raw data into useful insights.
  • A typical analytical workflow can involve:
  • Question → Data → Analysis → Trend/Pattern → Insight → Recommendation → Action
  • The role also expects analysts to understand what is driving operational performance rather than simply reporting numbers.

Skills & Eligibility

  • Enforcement Detection Analyst, Trust and Safety, YouTube:
  • Bachelor’s degree or equivalent practical experience.
  • At least 1 year of experience in data analysis.
  • Experience identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • At least 1 year of experience managing projects.
  • Experience defining project scope, goals, and deliverables.
  • Experience or demonstrated interest in content policy or anti-abuse operations at scale.
  • Ability to work with multiple stakeholders to gather requirements and explain analytical or model-related findings.
  • Strong problem-solving and analytical abilities.
  • Track record of implementing operational improvements and solving difficult problems.
  • Strong written and verbal communication skills.
  • Bachelor’s degree or equivalent practical experience.
  • At least 1 year of experience in data analysis.
  • Experience identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • At least 1 year of experience managing projects.
  • Experience defining project scope, goals, and deliverables.
  • Experience or demonstrated interest in content policy or anti-abuse operations at scale.
  • Ability to work with multiple stakeholders to gather requirements and explain analytical or model-related findings.
  • Strong problem-solving and analytical abilities.
  • Track record of implementing operational improvements and solving difficult problems.
  • Strong written and verbal communication skills.
  • The job description refers to using programming skills to ensure solutions fit within Google’s existing product and backend infrastructure.
  • Although the supplied listing does not specify a mandatory programming language, candidates with programming experience can benefit from understanding how data and analytical solutions interact with production systems.
  • Useful areas to prepare include:
  • SQL and data querying.
  • Basic scripting.
  • Data manipulation.
  • Statistics and analytical methods.
  • Understanding of APIs and backend systems.
  • Basic machine learning concepts.
  • The role requires 1 year of project-management experience, including defining project scope, goals, and deliverables.
  • Candidates should be prepared to demonstrate that they can structure work, identify milestones, coordinate stakeholders, and keep projects moving toward completion.
  • Experience from professional projects, internships, or substantial academic projects may help demonstrate these capabilities where relevant.
  • Strong written and verbal communication skills are specifically listed as preferred qualifications.
  • An analyst may need to present trends, explain the causes of operational problems, discuss recommendations, and communicate incident findings to teams with different levels of technical expertise.
  • Being able to turn complex analysis into a concise and understandable explanation is therefore important.
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