Business Analyst, Trust and Safety, YouTube

Key Skills

C++, Data science techniques, ETL frameworks, JavaScript, Python Programming, R Programming, SQL

Job Description

Minimum qualifications:

• Bachelor's degree in Mathematics, Physics, Statistics, Computer Science, Engineering, Economics, Operations Research, Bioinformatics, Computational Biology, a related quantitative field, or equivalent practical experience.
• 1 year of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
• 1 year of experience in statistical problem-solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C++).

Preferred qualifications:

• 4 years of experience in an analytical role.
• Experience with abuse prevention, policy and regulatory systems, and in project management and process optimization with data analytics.
• Experience with extracting, sampling, and visualization of data sets, writing and maintaining ETLs which operate on a variety of structured and unstructured sources, delivering production level metrics, insights, and actions.
• Ability to take ownership of projects by setting and achieving milestones, synthesizing input from stakeholders, managing multiple projects, creating outputs appropriate to the audience, and driving final deliverables.
• Excellent written and verbal communication skills.

About the job

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 belong, 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, you will utilize data and problem solving techniques to define success metrics for YouTube Trust and Safety operations, measure business performance and communicate convincing narrative to 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.

It is important that you are able to toggle between the 10,000 foot view of "What is the most meaningful story for outside world" and the 10 foot view of "day-to-day tactical improvements in business performance and its drivers (e.g., more automation using classifiers, better tools to take violative content down faster)". With your expertise, you will help deliver on YouTube’s mission to represent everyone, show them the world and build a community.

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

• Develop, build, and measure performance on YouTube wide abuse performance metrics and operational metrics (productivity, efficiency, timeliness, etc.) and generate insights to improve business ability to decrease prevalence of violative content on the platform.
• Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate highly technical results and methods clearly.
• Partner with Data Science and Strategy teams to prioritize and execute sophisticated quantitative analyses and advanced modeling that deliver actionable insights.
• Analyze processes to identify opportunities for improvement, define requirements, and collaborate cross-functionally and globally to improve processes and tools.
• Analyze and debug escalations and identify trends that can indicate bigger product risks.