Business Data Scientist, Ads Product Finance, YouTube
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Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Preferred qualifications:
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Excellent problem solving and technical abilities to drive forecasting, data analysis, and insights for executive audiences (e.g., SQL, R, Python, dashboard creation, advanced financial modeling, statistics), with attention to detail.
- Experience involving quantitative data analysis related to online advertising and emerging businesses like Shopping, etc.
- Ability to take initiatives, work in an unstructured environment, and comfortable dealing with ambiguity.
About the job
The YouTube Ads Product Finance team partners with YouTube Ads Leadership across Product, Engineering, and Sales (GBO) to drive ads decisions with financial stewardship. We are strategic partners, driving impact through analysis grounded in hard data. We bring a unique point of view and bias to action on a collaborative approach, all while focusing on the development of our people.
The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
The US base salary range for this full-time position is $127,000-$187,000 + 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.
Responsibilities
- Own core business analysis and reporting cadences, in-depth search into trends to understand drivers and identify opportunities for growth.
- Provide support and make progress to drive impact to Product strategy, even in ambiguous environments.
- Demonstrate bias towards action by proactively analyzing data to unlock actionable insights.
- Construct executive level presentations and present complex findings in a clear, concise, and decision-impacting manner. Build excellent problem solving frameworks and tools to measure key results.
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