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 with SQL and scripting in one or more languages (e.g., R, Python, JavaScript, etc).
Preferred qualifications:- Experience with using Generative AI tools and agentic approaches.
- Experience working in a development life-cycle, defining requirements, checking in code, testing, staging, production.
- Experience with databases, data warehouses, business intelligence, investigative tools, commercial reporting tools and technologies.
- Experience analyzing data sets, gathering insights, and developing reporting solutions that support decision-making processes.
- Ability to analyze results into business recommendations.
- Ability to create narratives for different audiences and obtain buy-in from cross-functional teams with excellent communication skills.
About the jobAt 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.
Finance Data and Analytics (DnA) team combines business acumen, technology and innovation to organize data, enable insights and create data driven and efficient Finance organizations in Google. As part of this team, you will gain perspectives on Google's core businesses, services and the products.
At Google, data drives all of our decision-making. As a Business Intelligence Analyst, you will collaborate with data engineers, analysts and Program Managers (PMs) to create end-to-end data solutions to enable our finance partners to make informed decisions, manage risks and opportunities.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $124000 - $178000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities- Partner closely with the Finance teams, understand their data needs and build plans to address those with intelligent data solutions in a timely and sustainable fashion.
- Deliver data solutions that tell a story and provide insights to the users, enabling them to make better decisions and more efficiently complete their responsibilities.
- Incorporate best practices for reporting, dashboards and scorecards, data visualization to ensure the data solutions are and remain relevant in filling the information gaps of the finance organization.
- Maintain development practices including: technical design; solution development; systems configuration; test documentation/execution; issue identification and resolution; writing clean, modular and self-sustaining code.
- Ensure the integrity of data under the purview of the projects, including establishing security procedures to protect and maintain the highest level of confidentiality and data security.
