Head of Search Strategic Insights and Analysis
@ Google

Mountain View, CA
$280,000
On Site
Full Time
Posted 10 hours ago

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Job Details

About the Job

Google is seeking a Head of Search Strategic Insights and Analysis to lead a team of experienced data scientists. In this role, you will leverage data-driven insights to shape product strategies and decision-making, influencing Search leads and cross-functional teams including Product Management, Engineering, UXR, and Finance.

Minimum Qualifications

  • Bachelor's degree in a quantitative field.
  • 13 years of experience using analytics, statistical analysis, and coding (Python, R, SQL) or 10 years with a Master’s degree.
  • 5 years experience as a people manager in a technical leadership role.

Preferred Qualifications

  • Master's degree in a quantitative field.
  • 15 years of analytics experience and 6 years in a technical leadership role.

Responsibilities

  • Perform advanced analysis using SQL, R, and Python.
  • Lead projects from problem definition to actionable insights.
  • Develop and implement analytical/statistical models and visualizations.
  • Oversee cross-functional project timelines and define operational objectives.
  • Direct and influence team contributions to drive project success.

Compensation

The US base salary range is $227,000-$320,000 plus bonus, equity and benefits. Compensation is determined by role, level, location, skills, experience, and education.

Equal Opportunity

Google is an equal opportunity employer committed to equal employment without regard to several protected characteristics. Qualified applicants, including those with arrest or conviction records, are encouraged to apply.

Key skills/competency

  • Data Analytics
  • Statistical Analysis
  • Python
  • R
  • SQL
  • Leadership
  • Cross-functional Collaboration
  • Visualization
  • Strategic Insight
  • Project Management
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How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant analytics and leadership experience.
  • Research Google: Understand their culture, products, and innovation.
  • Optimize keywords: Emphasize technical skills and strategic insights.
  • Prepare for interviews: Practice technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Practice SQL query exercises.
Study statistical modeling techniques.
Familiarize with data visualization tools.

Behavioral Questions

Describe a project conflict resolution instance.
Explain your leadership style in managing teams.
Discuss a challenging analytics problem solved.
Share a time you influenced a decision.

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