Business Analyst II, Creator Partnerships, YouTube

Google•New York, NY

1d•Remote

About The Position

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. Join YouTube's dynamic T2 Segment GTM team and shape the future of our largest segment of monetizing partners! As a key player in our entrepreneurial environment, you'll drive global business strategy alongside marketing and product. You'll lead the evolution of our scaled partner management strategy, wielding data to conduct analyses, build dashboards, and develop automated solutions. This is an exciting time to join the team as we are in the early stages of evolving our T2 partnerships strategy. In this role, you will have an opportunity to make a significant impact in informing our strategy and developing innovative solutions. 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.

Requirements

Bachelor's degree in Engineering, Math, Quantitative Science, 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++).

Nice To Haves

Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
Experience in data analysis, with the ability to solve problems in complex, fast-moving, and ambiguous business environments through solid data intuition and business acumen.
Familiarity with machine learning models including model evaluation and validation.
Ability to effectively communicate analysis and recommendations across a wide range of non-technical audiences.
Ability to create automated analyses to generate insights at scale.
Strong dashboarding skills including ability to think through information hierarchy and structure.

Responsibilities

Create reports on overall program performance and key metrics.
Analyze program performance to explain performance variations and identify opportunities for improvement.
Develop scaled analyses through automation to empower front-line partner managers. Set front line pPerformance targets for T2 programs.
Build and manage dashboards for leadership and frontline.
Create presentations to inform leadership of insights.