Business Analyst, Cross Segment, YouTube

Minimum qualifications Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience. 3 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role. 3 years of experience in statistical problem solving and analyzing data sets using SQL, or comparable coding language (e.g., Python, R, Java, C++). Preferred qualifications Master's degree in Statistics, Mathematics, Computer Science, or Engineering. 5 years of experience in quantitative analytics solving product or business problems, coding (e.g., Python, SQL), querying databases, or statistical analysis. Experience using or deploying digital analytics and measurement solutions. Experience delivering analytics to senior stakeholders (e.g., problem scoping/definition, modeling, interpretation, presentation). About the job The Segment Go-To-Market team is a part of YouTube's Business Strategy and Operations team and delivers service models for sustainable partner growth across creators, artists, and media companies. The team defines and implements proactive and reactive service models to optimize impact and cost-to-serve across the partner funnel. The US base salary range for this full-time position is $111,000-$163,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Synthesize data into useful formats and bring insights. Manage details and implications of critical business issues. Present to executives and communicate with technical management teams. Provide cross-functional stakeholder management and leadership through influence. #J-18808-Ljbffr Google