招聘
Benefits & Perks
•Generous paid time off and holidays
•Comprehensive health, dental, and vision insurance
•Parental leave
•Flexible work arrangements
•Healthcare
•Parental Leave
•Flexible Hours
Required Skills
Python
PostgreSQL
JavaScript
About the job
In this role, you will own the end-to-end resolution of payment discrepancies by conducting root cause analysis and leveraging data to estimate and prioritize business impact. You will be driving technical efficiency, building automated dashboards and infrastructure while navigating a matrixed environment to secure leadership buy-in for payment-related decisions.
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
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Lead payments issue management, and drive issues to resolution. Conduct root cause analysis, involving multiple systems, teams, and processes. Query system's data, and utilize the data to calculate issue size and plan issue priority
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Work on potential paths for issue resolution, present recommendations to leadership on which option is best, and secure leadership approval.
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Be accountable for achieving service level objectives (SLOs) related to timeliness and velocity of issue resolution. Develop and implement action plans for future issue prevention.
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Manage stakeholders and communication within a matrixed environment. Work with product, engineering, operations, legal, and finance teams.
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Build technical infrastructure to scale issue resolution, and make it automated and efficient. Work flexible hours.
Minimum qualifications
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Bachelor’s degree or equivalent practical experience.
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2 years of experience with data manipulation, data analysis, and SQL.
Preferred qualifications
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Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
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Ability to create, document, and execute processes, and work in a matrixed environment.
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Ability to translate data into insights for executive stakeholders.
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Ability to work in a changing environment, with excellent communication skills.
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Excellent investigative, attention to detail, organizational, stakeholder management, and collaboration skills.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
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$1,700B
Valuation
Reviews
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Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
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L6
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Mid/L4
Principal/L7
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$176,704
total / year
Base
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Stock
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Bonus
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$150,298
$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
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Technical Knowledge
Product Sense
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