Business Data Analyst, Procurement

Design, develop, and maintain self-service reporting tools, dashboards, and analytics platforms tailored for procurement stakeholders.Oversee collecting, aggregating, and analyzing procurement-related data from various sources to create actionable insights and meaningful visualizations.Drive in-depth analysis to identify key performance indicators (KPIs) and metrics relevant to procurement operations.Lead creation of interactive and visually appealing dashboards, reports, and data visualizations using data visualization and reporting tools and software.Drive ongoing manual reporting activities by generating ad-hoc reports, and analyses as needed for specific operational requirements and ensure accuracy, completeness, and timely delivery of manually prepared reports.Minimum qualifications:Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.9 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.9 years of experience analyzing data sets using SQL or a comparable coding language (e.g., Python, R, Java, C++).Preferred qualifications:Advanced degree or certifications in Business Intelligence, Data Analytics, or related field.Experience with advanced data visualization techniques and storytelling to convey insights effectively, and knowledge of procurement processes to design tailored self-service reporting tools.Experience providing training, guidance, and ongoing support to procurement teams on using self-service reporting tools effectively.Managerial experience guiding and facilitating cross-functional or global teams, including managing and influencing professionals and managers to establish performance expectations.Proficiency in data governance principles and practices, with experience in ensuring data accuracy, completeness, and integrity in reporting activities.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.In the Google Procurement Organization (GPO), our aim is to unlock value for Google to reinvest in what matters most. We do this by bringing velocity, efficiency, and security to buying at Google, while partnering deeply across Google to deliver solutions fit for purpose. As a centralized organization operating in a high complexity environment, we bring "one voice" to stakeholders and suppliers to ensure the best outcomes. Our organization fosters a culture of collaboration and innovation while providing opportunities for ongoing career growth and development.Within the Google Procurement Organization, the Digital Experience team is responsible for enabling and ensuring a consistent approach across the entire GPO through deep data insights and agile simple processes and technology and focuses on developing GPO's processes, technology landsape and data architecture to create efficient, user-friendly, and integrated processes and systems that enhance GPO's capabilities, streamline operations, improve user experiences, and drive value for the organization.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $180000 - $261000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Chicago, IL, USA.Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.9 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.9 years of experience analyzing data sets using SQL or a comparable coding language (e.g., Python, R, Java, C++).