
Organizing the world's information and making it universally accessible.
Senior Business Analyst, Primary Research and Insights, YouTube
About the job
YouTube's Technology and Insights (T&I) team drives our mission by delivering data-driven insights. The Primary Research and Insights team within Technology and Insights designs and executes studies using a variety of consumer research approaches and investigative methods. These studies generate actionable insights that inform critical business decisions, enabling YouTube to achieve its mission of giving everyone a voice and showing them the world.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 $148,000-$215,000 + 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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Lead the design and execution of consumer research studies, including Conjoint Analysis, to inform business decisions.
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Analyze and synthesize research data to translate findings into actionable insights and recommendations for Go-To-Market (GTM) and product teams.
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Understand and quantify the market size, forecast product uptake, and identify key value drivers for new product concepts in sports, music, and media, leveraging a variety of data sources.
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Collaborate with cross-functional partners in Product Management, Strategy, Business Development, Marketing, and Finance to integrate research findings into business cases and planning.
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Present research methodologies, findings, and recommendations clearly and persuasively to audiences, including executives.
Minimum qualifications
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Bachelor's degree in Engineering, Mathematics, Quantitative Science, a related technical field, or equivalent practical experience.
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6 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
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Experience in conjoint analysis, qualitative research, and survey design.
Preferred qualifications
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Experience conducting research within consumer-facing industries.
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Experience influencing executive leadership on problem-solving decision making.
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Experience in data analysis, with the ability to solve problems in fast-moving and ambiguous business environments through solid data intuition and business acumen.
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Ability to communicate analysis and recommendations across a wide range of non-technical audiences.
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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
L6
L7
L8
L9
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Intern
Director
L3
L4
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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