Global Strategy & Operations Analyst – Data-Driven Growth

Google; San Bruno (CA); On-site; USD 124,000 - 177,000; Full time

Job summary

Google is seeking a Central Strategy and Operations Analyst for YouTube to drive activation of key products at scale and optimize central incentives systems across regions. You will present compelling proposals to executive leaders and work with cross-functional teams in product activation, segmentation, technology, and insights.

Ideal candidates have strong analytical and communication skills, and can influence senior leadership while navigating large data warehouses using SQL.

Qualifications

• 4 years of experience in a management consulting, sales operations, business strategy or corporate advisory role.
• 3 years of experience in a strategy and operations or consulting role.
• 3 years of experience working with executive stakeholders.
• 2 years of experience with data analysis and data tools (e.g., SQL).

Responsibilities

• Design, pilot, and operationalize scaled product activation strategies to drive YouTube’s biggest product priorities.
• Identify and execute on opportunity areas for improving YouTube’s central scaled incentives system.
• Own the end-to-end problem-solving lifecycle, from generating hypotheses and analyzing data to distilling insights and communicating recommendations.
• Partner with cross-functional stakeholders in product activation, segmentation, technology, and insights to drive impact. Develop and deliver business recommendations to a wide range of audiences through effective communication and compelling data.
• Navigate YouTube's data warehouse to access and work with relevant data using SQL and other query languages.

Education

Bachelor's degree or equivalent practical experience

Tools

SQL

Job description

Google is seeking a Central Strategy and Operations Analyst for YouTube to drive activation of key products at scale and optimize central incentives systems across regions. You will present compelling proposals to executive leaders and work with cross-functional teams in product activation, segmentation, technology, and insights.

Ideal candidates have strong analytical and communication skills, and can influence senior leadership while navigating large data warehouses using SQL.