Business Analyst, YouTube

Google•San Bruno, CA

4d•$117,000 - $167,000

About The Position

Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. As a Business Analyst on YouTube Trust and Safety, you’ll partner closely with executive and cross-functional stakeholders (Product, Engineering, Policy Development, Operations) to translate critical business questions into data-driven risk assessments and strategic safety insights. You will work with key business partners to architect metrics, build statistical models, and develop automated investigation frameworks that drive decision-making and optimize Trust and Safety investments. In this role, with your problem-solving expertise, you will help deliver on YouTube’s mission, show them the world and build a community. Your role will be critical in upholding the transparency mandate for the YouTube Trust and Safety and crafting the best narrative for executives and the outside world. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Requirements

Bachelor's degree in Engineering, Math, Quantitative Science, or a 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++).
Experience working in Trust and Safety operations.

Nice To Haves

Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
2 years of experience with designing experiments, developing statistical models, measurement, and identifying business opportunities.
Experience collecting, managing and synthesizing large data sets and information from disparate sources, statistical modeling, data mining and data analysis.
Experience in data analysis, with the ability to solve problems in complex, fast-moving, and ambiguous business environments through data intuition and business acumen.
Knowledge of Google tools (e.g., Plex, BQ, etc.).
Ability to effectively communicate analysis and recommendations across a wide range of non-technical audiences.

Responsibilities

Develop metrics and risk profiling frameworks to ensure safe feature launches across YouTube surfaces. Quantify and assess feature risks and drive right-size Trust and Safety investments.
Build automated data pipelines and investigation frameworks to monitor launch safety, detect emerging abuse, and show ops performance. Provide low-latency reporting and sampling strategies for high-risk feature launches.
Collaborate with Data Science, Engineering and Product partners to launch broader metrics for new features and influence future roadmap. Contribute to solving technical issues by developing, validating, and documenting new features/solutions.
Support leadership with agile, ad-hoc data analysis and presentations. Translate complex business questions into actionable insights and narrate data stories to cross-functional partners.
Design, build, and drive actionable insights on metrics that influence business decision-making for Cross-Product Safety team, synthesizing information to optimize performance and deliver exceptional execution.