Analytical Lead, YouTube Brand Deals and Shopping
San Bruno, CA, United States6h ago
Key details
- Salary
- $152K–$221K/yr
- Location
- San Bruno, CA, United States
- Work style
- Onsite
- Level
- Senior
- Experience
- 5–8 yrs
- Function
- other
- Focus area
- other
- Posted
- 6h ago
Skills
data analysisdata pipelinesgo-to-marketpythonrsqlstatistical analysisstatistical modeling
About the role
About the job
The YouTube Business Go-To-Market team is responsible for driving all go-to-market functions for YouTube, including strategy and business operations, analytics and data science, partnership enablement, and product activation. The team shapes go-to-market priorities to accelerate growth and resource the business accordingly, enhancing skills and capabilities to support execution of business priorities, driving efficiency across business operations, and building excellent infrastructure and tooling. This team combines operational and problem-solving skills with a pragmatic sense of how to get things done and drive change across a global organization.
Brands are looking for partners who can authentically connect with their audience and deliver measurable results - this is where Brand Deals and Shopping come in. In addition to your technical skills, you will create clarity from ambiguity, solve complex business and technical problems, consistently get things done, and show the ability to build relationships across a group of colleagues.
US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build high-quality, scaled data products (e.g., data pipelines, dashboards, AI-powered summaries) to enable stakeholder teams. Track and manage key metrics at YouTube, specifically 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.
- Act as a thought 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. Advocate for standardized best practices to ensure quality.
- Contribute to the success and development of the team by collaborating on novel AI and agentic solutions and proactively sharing ideas, insights, and knowledge.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience generating business insights and dashboards for internal/external partners or customers.
- 5 years of experience with data analysis and SQL.
- Experience in data pipelines and statistical analysis in one programming language (e.g., Python).
Preferred qualifications:
- 7 years of experience in a large global business using data and statistical analysis to influence business outcomes.
- Experience with high level of technical building data pipelines (e.g., SQL) and dashboard solutions.
- Experience with high levels of ambiguity and organizational complexity.
- Experience with YouTube, Ads, Creators or other related domains.
- Demonstrated ability to influence a range of stakeholders, from engineers to executive business leaders.
- Comfortable using AI/agentic tooling for analytics and performing statistical modeling in Python/R.
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience generating business insights and dashboards for internal/external partners or customers.
- 5 years of experience with data analysis and SQL.
- Experience in data pipelines and statistical analysis in one programming language (e.g., Python).
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