Business Data Scientist, Google Analytics

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 Ads and Commerce Finance team provides analysis and forecasting of core business-generating products to executive audiences. As part of this team, you will have a unique perspective on key digital advertising businesses, services, and the ecosystems within which they operate. You will serve as a partner to business leaders across Product and Engineering to drive impact through a grounding in hard data, a separate point of view, a bias to action, and a collaborative approach. In this role, you will serve as a data scientist supporting the media effectiveness measurement team, which aims to help advertisers measure the effectiveness of their digital ad spend leveraging a full-funnel set of metrics. You will be at the center of driving analytics, insights, and measurement impact across primary web analytics and campaign management platforms. You will lead the holistic finance strategy for these product suites, oversee advanced analytics, refine pricing rate cards, and partner with Product Management, Engineering, Product Strategy, Go-To-Market, and cross-functional Finance teams to guide executive decisions. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . Shape and scrutinize the commercial strategy for the GA and CM product suites, evaluating the impact on business and the broader Google Ads ecosystem. Drive the annual business plan and establish operational goals, providing executive-level business performance updates and actionable insights. Architect sophisticated market sizing and opportunity models to project medium-to-long-term product adoption and growth trajectories. Drive cross-functional thinking to assess the incrementality and benefits of the product suites within the larger Google user ecosystem. Act as a thought partner on incentive fund investments, ensuring disbursement operations and flagging risks to fund deployment. 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. 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.