Business Intelligence Developer (English)

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in data modeling, developing data sets, or creating data visualizations.
• Experience using BI tools like Looker or Tableau to create visualizations and dashboards.
• Experience writing SQL queries.
• Ability to communicate in English to support global relations.

Preferred Qualifications:

• MBA, Master's degree, or advanced degree in a Technical or Scientific field of study.
• Experience supporting data-driven sales operations, consulting, or program management and strategic cross-functional BI initiatives in a cloud business.
• Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
• Experience in cloud-based data platforms and related BI services.
• Experience with statistical modeling, machine learning, or data mining techniques.
• Ability to communicate technical concepts to both technical and non-technical audiences.

About The Job

This is an exciting position that will play a key role in shaping how Finance partners with key Cloud executives and drives profitability. It will provide opportunities to lead and contribute to high-visibility projects with direct exposure to VP-level executives.

In this role, you will have the opportunity to enable hundreds of Financial Analysts/Managers and serve as the main subject matter expert on key financial systems and data marts. Your expert opinion will be actively sought after by GTM, Product, and Strategic Finance teams alike and you will play a key role in enabling decision making at executive level through applied data science. You are a self-initiator with a passion for identifying automation opportunities, building models, solving problems and charging the most critical and impactful work streams with your coding, statistical and data engineering skills. You are keen to deliver practical but innovative solutions of real business benefit and learn new tools to enable that outcome. You also have the personal skills, creativity and drive to build your own prototype solutions and to provide training and guidance to team members and partners.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

In this role, you will have the opportunity to enable hundreds of Financial Analysts/Managers and serve as the main subject matter expert on key financial systems and data marts. Your expert opinion will be actively sought after by GTM, Product, and Strategic Finance teams alike and you will play a key role in enabling decision making at executive level through applied data science. You are a self-initiator with a passion for identifying automation opportunities, building models, solving problems and charging the most critical and impactful work streams with your coding, statistical and data engineering skills. You are keen to deliver practical but innovative solutions of real business benefit and learn new tools to enable that outcome. You also have the personal skills, creativity and drive to build your own prototype solutions and to provide training and guidance to team members and partners.

Responsibilities

• Take full ownership of designing, developing, and maintaining critical data assets for Cloud Finance, including data marts, pipelines, and dashboards. Build an insightful, accurate, and production-level financial reporting infrastructure.
• Develop anomaly detection, drill-down, forecasting, and what-if modeling solutions. Combine your analytical acumen with technologies to surface analytics and insights at scale.
• Seek out opportunities to improve our financial operations by devising new and automating financial models and processes, statistical or driver-based forecasts and simulations. 
• Serve as a trusted and reliable partner to Finance colleagues across Google.