BI Analyst, Finance Data Governance, Finance Data and Analytics

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.

Google’s Finance Data and Analytics (DnA) team combines business acumen, technology, and innovation to organize data and enable insights, creating a data-driven, efficient Finance organization. In this role, you will gain a unique perspective on Google’s core businesses, services, and products.

Since data drives all of our decision-making, you will be responsible for shaping the Finance Data Governance practice as a Business Intelligence (BI) Analyst. Partnering with Finance leads, Product, and Corporate Engineering, you will play a critical role in executing a strategic plan for data security, quality, and governance.

You will have a passion for operational excellence and technology. You will be identifying opportunities to enhance performance, mitigate risks, and lead large-scale initiatives to ensure the delivery of a highly-controlled financial data platform.

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 $124,000-$177,000 + 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

• Drive innovative solutions and strategic initiatives to ensure Finance data adheres to all security policies and guidelines.
• Leverage infrastructure to implement robust data asset management, monitoring, and control frameworks for Finance.
• Partner with Engineering and Privacy leaders to unify fragmented efforts into a single, cohesive data governance roadmap.
• Design and develop scalable prototypes, self-serve tools, and ETL enhancements that satisfy immediate business needs.
• Translate policy into deterministic code to automate secure data provisioning and maintain high-quality, modular development standards.

Minimum qualifications:

• Bachelor's degree in a quantitative discipline or equivalent practical experience.
• 4 years of experience in business intelligence, analytics, or quantitative analysis related fields.
• Experience programming with SQL, and an additional programming language (e.g. with R, Python, JavaScript).

Preferred qualifications:

• Experience leveraging Generative AI and agentic workflows to automate data processes and increase operational efficiency.
• Experience utilizing databases and BI tools to manage complex, DAG-dependent workflows across the software development life-cycle (SDLC).
• Knowledge of finance, accounting, or budgeting applied to technical data projects.
• Ability to analyze complex datasets, developing scalable reporting solutions that drive executive decision-making.
• Ability to translate complex technical concepts into compelling narratives to gain cross-functional stakeholder buy-in.
• Ability to prioritize business needs and deliver high-impact results in fast-moving, ambiguous environments.