Analytical Lead, YouTube Brand Deals

Mountain View, CA (On-site)

$152K/yr – $222K/yrSenior Level5+ years expFull time

Posted 2 weeks ago

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Job Summary

Own end-to-end data products and insights for Brand Deals at YouTube, partnering with analysts, engineers, and data scientists to deliver scalable, AI-enabled solutions that influence strategy and drive measurable outcomes.

  • Translate business needs into scalable data-driven insights
  • Collaborate across teams to improve data sourcing and standards
  • Leverage AI/agentic tooling to accelerate analytics and storytelling

Job Description

Responsibilities

  • Build scaled, data products (e.g., data pipelines, dashboards, AI-powered summaries) enable stakeholder teams to independently and consistently track and manage metrics at YouTube, focused on the Brand Deals business strategy.
  • Develop and communicate insights from both internal and external datasets, turning insights into narratives that influence and align key stakeholders and drive quantifiable business outcomes.
  • Partner and convert business requirements into scalable solutions and data-driven insights utilizing Google's internal processes and technologies, including AI/agentic-based solutions.
  • Collaborate with analysts, engineers and data scientists to identify and remove friction in data sourcing and user journeys, and advocate for standardized best practices to ensure quality.
  • Contribute to the overall success, productivity and development of the team by collaborating on novel AI and agentic solutions and proactively sharing ideas, insights and knowledge.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience troubleshooting technical issues for internal/external partners or customers.
  • 5 years of experience with data analysis and SQL/MySQL.
  • Experience in system architecture and code comprehension/reading in one programming language (e.g., Java, C++, Python).

Preferred

  • 6 years of experience in a large global business using data and statistical analysis, and building data pipelines (e.g., SQL) and dashboard solutions to drive business outcomes.
  • Experience using AI/agentic tooling for analytics and performing statistical modeling in Python/R.
  • Experience partnering with business teams to influence strategic thinking.
  • Experience with YouTube, Ads, Creators or other related domains.
  • Ability to analyze large datasets, develop compelling insights and narratives, and leverage those insights to influence stakeholders.

Benefits

  • Learn more about benefits at Google .
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Google

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29 employees (4 in marketing)

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83.9B
Traffic Source Mix
Search
6.3%
Direct
87.6%
Referral
5.1%
Social
0.5%
Paid
0.2%

Headcount Trend

Current headcount: ~29

Marketing Team

Marketing Team Size
3 (10% of company)
Marketing Roles Posted (Last 30 Days)
35