Data Analyst, Internal Audit
Employment Type: Full-Time
Internal Audit's mission is to protect and enable growth across Alphabet, Google and our Bets with objective, practical insights. We do this by monitoring the risk environment across Alphabet and providing insights to enable effective risk management. We work closely with teams and leadership to achieve a strong control environment that enhances and protects organizational value. We serve as one of the company's various lines of defense for staffing and developing our team to be control experts who deliver objective and reliable results. As a member of the team, you'll advise the business and engineering groups to identify areas of risk and make valuable recommendations on controls. You'll have the opportunity to influence change and decisions for business initiatives including product launches and system implementations. You enjoy working in a dynamic environment, are passionate about technology and are able to focus on key issues and the details that come with it.
As a member of Internal Audit's Data Analyst team, you will apply rigorous, data-driven insights and methodologies in working with auditors and cross-functional stakeholders to identify, size and evaluate risk drivers across Alphabet's diverse range of products. You'll advise the business on areas of risk and make valuable recommendations on controls. You'll have the opportunity to influence change and decisions for business initiatives including product launches and system implementations.
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.
* Bachelor's degree in Data Science, Computer Science, Statistics, Behavioral Economics, similar field, or equivalent practical experience.
* 4 years of experience in risk, or domain focusing on identifying, quantifying and mitigating varied harms.
* Experience with SQL and Python.
* Experience applying statistics and machine learning to business problems, building datasets, designing/measuring metrics, and data visualization.