Job description

Discover is a personalized recommendation feed that provides users with relevant and meaningful information based on their interests and our understanding of the world’s information. Today, Discover is one of the world’s largest feed products, with more than 500M daily active users. Our goal is to create a feed that is “magically made for you and by you.” And our mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content from the voices they care about.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.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 . • Partner directly with Product Managers and Engineers to analyze user journeys, identify friction points across the funnel, and evaluate product interventions to improve activation, engagement, and retention. • Build and maintain growth accounting frameworks to measure user dynamics (new, resurrected, retained, and churned users) across Discover's global user base. • Lead the investigative cadence for weekly business reviews (WBR), identifying key drivers of week-over-week metric movements and presenting insights to cross-functional partners. • Design, run, and evaluate A/B experiments on growth initiatives, ensuring excellence in measurement and decision-making. • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years work experience with a Master's degree. • Experience with building and maintaining automated reporting pipelines and dashboards for recurring business reviews (such as WBRs). • Experience in growth analytics, user lifecycle modeling, or growth accounting for consumer applications or feed-based recommendation systems. • Experience partnering with product and engineering teams to translate investigative findings into product roadmaps and feature iterations. Minimum qualifications: • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years work experience with a Master's degree. • Experience with building and maintaining automated reporting pipelines and dashboards for recurring business reviews (such as WBRs). • Experience in growth analytics, user lifecycle modeling, or growth accounting for consumer applications or feed-based recommendation systems. • Experience partnering with product and engineering teams to translate investigative findings into product roadmaps and feature iterations. Preferred qualifications: • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

Requirements

Must-haves

Learn more about benefits at Google .
Partner directly with Product Managers and Engineers to analyze user journeys, identify friction points across the funnel, and evaluate product interventions to improve activation, engagement, and retention.
Build and maintain growth accounting frameworks to measure user dynamics (new, resurrected, retained, and churned users) across Discover's global user base.
Lead the investigative cadence for weekly business reviews (WBR), identifying key drivers of week-over-week metric movements and presenting insights to cross-functional partners.
Design, run, and evaluate A/B experiments on growth initiatives, ensuring excellence in measurement and decision-making.
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years work experience with a Master's degree.
Experience with building and maintaining automated reporting pipelines and dashboards for recurring business reviews (such as WBRs).
Experience in growth analytics, user lifecycle modeling, or growth accounting for consumer applications or feed-based recommendation systems.
Experience partnering with product and engineering teams to translate investigative findings into product roadmaps and feature iterations.
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years work experience with a Master's degree.
Experience with building and maintaining automated reporting pipelines and dashboards for recurring business reviews (such as WBRs).
Experience in growth analytics, user lifecycle modeling, or growth accounting for consumer applications or feed-based recommendation systems.
Experience partnering with product and engineering teams to translate investigative findings into product roadmaps and feature iterations.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

Nice-to-haves

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsql

Platform: google
Effort: medium