Minimum qualifications:
- Bachelor’s degree in Data Science, Business Analytics, Operations Management, or a related field and 4 years of experience in the job offered or in a Trust and Safety Analyst-related occupation. Alternatively, will accept a Master’s degree in Data Science, Business Analytics, Operations Management, or a related field, and 2 years of experience in the job offered or in a Trust and Safety Analyst-related occupation.
- Position requires 2 years of experience in the following: Trust and Safety analytics for actionable insights and trend identification; Project management of cross-functional initiatives, including the use of content moderation tools; Machine learning concepts for Trust & Safety application; Operations improvement through automation and analytics; and Collaborating globally, across and beyond Trust and Safety team, to advance common goals.
About the job:
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, 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.
The US base salary range for this full-time position is $144,450 – $167,000 + 15% Bonus Target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Position reports to the Google New York, NY office & may allow for a hybrid schedule per Google policy.
Responsibilities:
- Design and implement integrations between business objectives and systems, building strategies that support key business functions.
- Conduct strategic analysis to identify trends, optimize business performance, and recommend data-driven solutions.
- Manage complex projects with multiple stakeholders, overseeing planning, timeline estimation, and issue tracking from start to finish.
- Utilize large datasets to architect metrics, synthesize information, and influence business decisions by presenting key insights.
- Drive process improvements for stakeholders by managing escalations, providing solutions, and implementing recommendations. Oversee operational monitoring and error resolution to reduce latency, prevent inaccuracies, and ensure process excellence.