
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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Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
10개 리뷰
4.5
10개 리뷰
워라밸
3.2
보상
4.3
문화
4.1
커리어
4.2
경영진
3.8
82%
지인 추천률
장점
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
단점
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
연봉 정보
57,503개 데이터
Junior/L3
L6
L7
L8
L9
Mid/L4
Principal/L7
Senior/L5
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VP
Intern
Director
L3
L4
L5
Junior/L3 · Associate Product Manager 2 (APM2)
0개 리포트
$183,233
총 연봉
기본급
-
주식
-
보너스
-
$155,748
$210,718
면접 후기
후기 9개
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%
보통 56%
부정 44%
면접 과정
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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