Business Data Scientist, Ads Finance

You have a total of 5 years of experience in data and analytics with expertise in data curation, ETL, integration technologies, SQL, and other database automation or business intelligence tools (e.g., R, Python, Essbase, JavaScript). Having a Master's degree in a quantitative discipline or equivalent practical experience is preferred. Your investigative work in a high data volume environment within software, internet, media, or telecommunication industries showcases your abilities. Strong written and verbal communication skills are crucial for translating technical solutions to executive leadership. In this role, as part of the Ads Finance Team, you will provide various services such as assisting sales managers in understanding business drivers, making allocation decisions based on data, forecasting, Profit and Loss management, ROI evaluations, financial modeling, and data analysis. Collaboration with various teams within Google is essential to thrive in this role, including working with business generation, sales, product teams, and BI for report automation and operational support. Strategic input on go-to-market strategies, investment strategies, and business intelligence initiatives is also part of your responsibilities. Responsibilities: - Build robust and scalable data pipelines, integrated datasets, and insightful visualizations. - Own, drive, and deliver multiple infrastructure work-streams on both ongoing and ad hoc basis. - Collaborate with Engineering and Business Intelligence partners to shape and drive Google's data analytics infrastructure, including data integration, reporting, Machine Learning, and analytics platforms. - Contribute to the development of the team's tools, skills, culture, and impact for Google Customer Solutions and Google. Google is an equal opportunity workplace and affirmative action employer, committed to providing equal employment opportunities regardless of various factors. Qualified applicants are considered regardless of criminal histories, as per legal requirements. Accommodations for applicants with disabilities or special needs are available upon request by completing the Accommodations for Applicants form. You have a total of 5 years of experience in data and analytics with expertise in data curation, ETL, integration technologies, SQL, and other database automation or business intelligence tools (e.g., R, Python, Essbase, JavaScript). Having a Master's degree in a quantitative discipline or equivalent practical experience is preferred. Your investigative work in a high data volume environment within software, internet, media, or telecommunication industries showcases your abilities. Strong written and verbal communication skills are crucial for translating technical solutions to executive leadership. In this role, as part of the Ads Finance Team, you will provide various services such as assisting sales managers in understanding business drivers, making allocation decisions based on data, forecasting, Profit and Loss management, ROI evaluations, financial modeling, and data analysis. Collaboration with various teams within Google is essential to thrive in this role, including working with business generation, sales, product teams, and BI for report automation and operational support. Strategic input on go-to-market strategies, investment strategies, and business intelligence initiatives is also part of your responsibilities. Responsibilities: - Build robust and scalable data pipelines, integrated datasets, and insightful visualizations. - Own, drive, and deliver multiple infrastructure work-streams on both ongoing and ad hoc basis. - Collaborate with Engineering and Business Intelligence partners to shape and drive Google's data analytics infrastructure, including data integration, reporting, Machine Learning, and analytics platforms. - Contribute to the development of the team's tools, skills, culture, and impact for Google Customer Solutions and Google. Google is an equal opportunity workplace and affirmative action employer, committed to providing equal employment opportunities regardless of various factors. Qualified applicants are considered regardless of criminal histories, as per legal requirements. Accommodations for applicants with disabilities or special needs are available upon request by completing the Accommodations for Applicants form.