Business Analytics Manager, YouTube, Trust and Safety
As a Business Analyst Manager, you will utilize data and investigative techniques to define success metrics for YouTube trust and safety operations, measure business performance and communicate convincing narrative to top executives and outside world. You will work with key business partners to understand data needs, write extract, transform and load (ETL) scripts and collaborate closely with other internal teams.
In this role, you will operate to tell our safety story to the world, and the tactical view of how to drive daily improvements in our operations. You will be presenting a new data narrative to executives one day, and identify opportunities to automate our content moderation systems.
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.Responsibilities
- Formulate a practical long-term strategy and goal and lead a dedicated analyst team to work closely with operations, product, and engineering across YouTube Trust and Safety.
- Measure, analyze, and develop opportunities to enhance operations at scale in a changing environment.
- Manage and develop a team of business analysts, and support them through creating and deploying scaled solutions ranging from statistical measurements, experimentation and insight platforms, and externalized data and reporting pipelines.
Collaborate closely with various cross-functional stakeholders and act as a thought-partner to EMEA operations leadership across multiple verticals.
Minimum qualifications:
- Bachelor's degree in Engineering, Math, Quantitative Science, or a related technical field, or equivalent practical experience.
- 9 years of experience in statistical problem-solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C++).
- 9 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
- 2 years of experience managing a team.
Preferred qualifications:
- Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
- Experience in trust and safety and collecting, managing and synthesizing large data sets and information from disparate sources, statistical modeling, data mining and data analysis.
- Experience with consultative problem solving and project management, and in metrics analysis, experiment design and automation.
- Experience scaling and developing an analytics or business intelligence team in a high-growth environment.
- Experience influencing executive leadership on investigative decision making.
- Excellent verbal and written communication, and presentation skills with effective attention to detail.