Strategy and Operations Analyst, YouTube Business
@ Google

New York, NY
$150,000
On Site
Full Time
Posted 7 hours ago

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Job Details

Overview

The Strategy and Operations Analyst, YouTube Business at Google focuses on driving segmentation operations and analytics by integrating AI-powered solutions to optimize partner assignment. This role involves using advanced SQL, data visualization, and business analytics to deliver actionable recommendations and enhance operational efficiency.

Responsibilities

  • Collaborate with data science and engineering to integrate AI/ML models.
  • Design and build automated assignment processes and data governance systems.
  • Utilize advanced SQL and analytics to identify improvement opportunities.
  • Serve as a liaison between business and technical teams.
  • Present data-driven insights to stakeholders including executive leadership.

Qualifications

Minimum Qualifications: Bachelor's degree in a quantitative field or equivalent experience. Four years of analytical experience with SQL, data visualization tools (e.g., Looker, Tableau), and GTM operations.

Preferred Qualifications: MBA or Master's degree; experience simplifying technical analysis for non-technical audiences; familiarity with AI/ML concepts; strong communication and problem-solving skills; passion for YouTube and the creator economy.

Compensation

US base salary range: $118,000-$170,000 plus bonus, equity, and benefits. Actual compensation is determined by location, skills, and experience.

About Google

Google is an equal opportunity employer that thrives on innovation and passion, committed to diversity and inclusion in the workplace.

Key skills/competency

  • SQL
  • Data Analytics
  • AI/ML
  • Data Visualization
  • Business Strategy
  • Operational Efficiency
  • Partner Segmentation
  • Project Management
  • Presentation
  • Communication
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How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize quantitative analytics and SQL experience.
  • Research Google culture: Understand the innovation and data-driven environment.
  • Highlight AI skills: Showcase your AI/ML and data visualization projects.
  • Prepare for case studies: Demonstrate your strategic problem solving.
  • Practice communication: Be ready to explain technical insights clearly.

📝 Interview Preparation Advice

Technical Preparation

Review advanced SQL queries.
Practice data visualization tool exercises.
Study AI/ML basic modeling.
Refresh data governance principles.

Behavioral Questions

Describe a project under ambiguous conditions.
Explain collaboration with cross-functional teams.
Share successful problem solving experiences.
Discuss clear communication of complex data.

Frequently Asked Questions