Join Google Cloud's Performance and Continuous Excellence (PACE) Intelligence team, the global Business Intelligence (BI) foundation driving sales growth through AI, advanced reporting, and performance management. We are building the central source of truth for business insights, supporting over 10,000 sellers and empowering Go-to-Market teams with scalable data and innovative KPIs. Our mission is to foster business success and execute cloud strategy through an insights-led ecosystem.

Google Cloud empowers organizations to digitally transform, offering enterprise-grade solutions and tools for sustainable development. Trusted by customers worldwide, we help businesses grow and overcome their most critical challenges.

Transform complex data into actionable insights by developing robust data models, data marts, and automating reporting processes. This provides leadership with a clear view of key business and process performance.

Develop, test, and maintain AI agents that integrate seamlessly with existing data pipelines, scaling the generation and delivery of critical business intelligence.

Build essential data infrastructure, including writing SQL scripts, creating data pipelines, designing data warehouses, crafting investigative models, and developing intuitive, user-friendly dashboards.

Lead assigned projects from initial concept through final delivery, ensuring your data solutions deliver relevant, high-quality data and insights to accelerate business growth.

A Bachelor's degree or equivalent practical experience is required, along with a minimum of 4 years in data modeling, developing data sets, or creating data visualizations. Proficiency in writing SQL queries is essential.

Demonstrated experience using BI tools such as Looker, Tableau, or Power BI to create compelling visualizations and dashboards is necessary.

Preferred qualifications include an MBA, Master's degree, or advanced degree in a technical or scientific field. Experience supporting data-driven sales operations, consulting, or program management within a cloud business is advantageous.

Familiarity with scripting languages like Python, Go, JavaScript, or HTML for data manipulation and automation, experience with collaborative code review systems, developing AI agents, and knowledge of statistical modeling or machine learning techniques are beneficial.