
Organizing the world's information and making it universally accessible.
Analytical Lead, Brand Deals in YouTube
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.
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 $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Build and analyze data products that assist YouTube Business divisions, specifically focused on Brand Agreements and Influence business strategy.
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Convert commercial requirements into technical frameworks by applying extensive role-specific expertise and utilizing Google's internal processes and technologies.
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Generate Insights from both internal and external datasets, using these findings to influence and align key stakeholders.
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Build scalable infrastructure to measure Brand Agreement success of all initiatives.
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Collaborate with the analyst group to identify friction in data sourcing and user journeys, while advocating for standardized best practices and conducting training sessions.
Minimum qualifications
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Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
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5 years of experience in analytics, business intelligence (BI), or data engineering.
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Experience with relational databases including SQL queries, database definition, and schema design.
Preferred qualifications
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Experience in product management, developing and managing a portfolio of data products (e.g., dashboards, self-service tools), emphasizing user needs, adoption, and reliability for an internal user base.
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Experience in modern BI/data visualization platforms (e.g., Looker, Tableau), adoption of new tools and methodologies in a leadership role at a technology company or consulting firm.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Junior/L3
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L7
L8
L9
Mid/L4
Principal/L7
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VP
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L3
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L5
Junior/L3 · Associate Product Manager 2 (APM2)
0份报告
$183,233
年薪总额
基本工资
-
股票
-
奖金
-
$155,748
$210,718
面试评价
9条评价
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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