Google is seeking a Business Data Scientist for Platform Journey Analytics and Measurement in the United States (Boulder, CO and Chicago, IL). This role is on-site. As a member of BizOps, you will immerse yourself in data collection, extract insights from analysis, and develop synthesized recommendations to influence strategy. You will communicate findings to senior executives, help drive implementation, and monitor the impact of your recommendations. Our team delivers rigorous analysis to help the business make informed decisions and supports strategic initiatives and critical infrastructure. The role focuses on creating a trusted data architecture, measuring success, and designing closed-loop systems that diagnose issues and trigger automated workflows to improve the customer journey. Responsibilities include: Conduct quantitative data analysis to inform product and business decisions, including impact analysis, market and user understanding, strategic analysis, and user behavior. Present findings and recommendations to stakeholders at multiple levels. Plan, execute, and iterate experiments; prototype ideas at scale. Collaborate with cross-functional partners to gather data, complete end-to-end analysis, and deliver scalable outputs and presentations. Develop a deep understanding of Google data structures and metrics, advocating for changes to support scaled analysis.

Google is seeking a Business Data Scientist for Platform Journey Analytics and Measurement in the United States (Boulder, CO and Chicago, IL). This role is on-site. As a member of BizOps, you will immerse yourself in data collection, extract insights from analysis, and develop synthesized recommendations to influence strategy. You will communicate findings to senior executives, help drive implementation, and monitor the impact of your recommendations. Our team delivers rigorous analysis to help the business make informed decisions and supports strategic initiatives and critical infrastructure. The role focuses on creating a trusted data architecture, measuring success, and designing closed-loop systems that diagnose issues and trigger automated workflows to improve the customer journey. Responsibilities include: Conduct quantitative data analysis to inform product and business decisions, including impact analysis, market and user understanding, strategic analysis, and user behavior. Present findings and recommendations to stakeholders at multiple levels. Plan, execute, and iterate experiments; prototype ideas at scale. Collaborate with cross-functional partners to gather data, complete end-to-end analysis, and deliver scalable outputs and presentations. Develop a deep understanding of Google data structures and metrics, advocating for changes to support scaled analysis.