Business Intelligence Developer, Cloud Finance

Minimum qualifications:

• Bachelor's degree in a quantitative discipline or equivalent practical experience.
• 7 years of experience in business intelligence, analytics, or quantitative analysis related fields.
• Experience with building and ownership of complete BI solutions including data modeling and creating insightful dashboards in tools like Looker, Tableau, or Power BI.
• Experience in programming and SQL.

Preferred qualifications:

• Master's degree in a technical or quantitative field, or equivalent practical experience.
• Experience building data infrastructure and solutions (e.g., designing architecture, building big data pipelines, implementing scalable monitoring).
• Experience building Machine Learning models for forecasting or anomaly detection purposes.
• Proficiency in a programming language for data analysis and automation (e.g., Python or R).
• Excellent communication skills, with the ability to communicate complex findings in a concise manner to a non-technical audience.

About the job

At Google, data drives all of our decision-making. As part of the Finance Business Intelligence team, you will use data to inform business and product decisions across the company. Using your technical skills, business acumen and creativity, you will build tools to automate reporting and generate insight that will allow clients to quickly and accurately see how our key business products and processes are performing. Previous experience managing finance systems projects, with emphasis on providing business intelligence and data driven insight through reporting, will have equipped you well for this role. You’ll be involved in projects from inception to delivery, ensuring that your reporting delivers high-quality and relevant data to intelligently grow our business. You will also have extensive knowledge of key financial systems, such as Oracle and Hyperion, and experience working with a range of other business intelligence tools and platforms.

The Cloud Finance BI team supports the broader Cloud Finance organization and Cloud executive leadership. The team owns the financial analytics and automation roadmap and works with Finance and Engineering partners to build stable reporting, forecasting, simulation and modeling assets. Our goal is to enable decision intelligence while reducing the reporting burden on analysts.

We control the Cloud Profit and Loss (P&L), drive modeling, forecasting and automation efforts and lead data science initiatives to advise on optimal headcount resource allocation and deliver accountability. Our deep business knowledge, data mastery, and sharp insight provide us a seat at the table as essential partners and strategic advisers to the Cloud leadership team. Our analytics suite is used by 500+ monthly active users across Finance and Cloud.

The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design, develop, and maintain critical data assets for Cloud Finance, including data marts, pipelines, and dashboards. Build an insightful, accurate, and production-level financial reporting infrastructure.
• Develop sophisticated forecasting and what-if models using innovative Google technologies. Proactively automate and improve financial models and processes to surface insights at scale.
• Serve as a trusted partner to Finance colleagues, supporting their processes while empowering them with new tools and upleveling their analytical capabilities.
• Automate insight-gathering and deliver clear, impactful communications of complex technical analyses to executive audiences, including Finance VPs, Directors, and Chiefs of Staff.