Business Analyst, Scaled Creator Partnerships

Job Description

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.

The YouTube Strategy team focuses on our highest priorities, solving complex, ambiguous problems that span early stage growth initiatives, investing in our largest product or business areas, making major operational or organizational changes, and assessing strategic rationale for YouTube external investment opportunities. Throughout, we provide analytics-based insights, ensure cross-functional alignment of goals and execution, help YouTube teams drive our strategic initiatives.

The Community Partner Manager (CPM) team helps drive success with YouTube creators at scale. Creators who have amassed enough of a following are invited to join community cohorts where they receive exclusive communications, event invites, and insights from their CPM. They also get the chance to connect with other creators to learn from each other, ideate on content, and support each other through shared challenges.

The CPM Segment Go-To-Market team is responsible for setting the strategy and delivering the operational support needed for the CPM team to succeed. We are at a critical inflection point in which we are redefining the strategy for greater scale and impact. In this role, you will develop strategy and own the projects to bring that strategy to life.

The US base salary range for this full-time position is $134,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

Resonsibilities:
• Use data to conduct data-oriented analysis, architect metrics, synthesize information, solve problems, and influence business decision-making by presenting insights and market trends.
• Design and implement various integrations between business objectives, and design and build strategies that support these business systems.
• Conduct strategic analysis, optimize business performance, and deliver execution within product and function.
• Create dashboards and tools to drive business cadence including agent level progress tracking and leadership reporting.
• Develop and maintain relationships with stakeholders across partner management and marketing. Drive the business strategy globally through clearly crafted presentations to executive audiences.

Qualifications:

Minimum qualifications:
• Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.
• 6 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
• 6 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C++).

Preferred qualifications:
• Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
• 5 years of experience with designing experiments, developing statistical models, measurement, and identifying business opportunities.
• 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.
• Experience influencing executive leadership on analytical decision making.
• Knowledge of Google tools (e.g., Plex, BQ, etc.).
• Ability to effectively communicate analysis and recommendations across a wide range of non-technical audiences.

Jobcode: Reference SBJ-d5ymw1-18-216-123-120-42 in your application.