Financial Analyst II, Machines

About the job

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: $116000 - $166000 (USD) + 15% bonus target + equity + benefits

Learn more about

benefits at Google.

Responsibilities

• Perform analysis of datasets to extract relevant information, identify trends, and generate actionable insights for the business.
• Identify, evaluate, and prioritize risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability or impact of unfortunate events or to maximize the realization of opportunities.
• Manage projects involving multiple stakeholders, timelines, organizational implications, and changing circumstances.

Minimum qualifications:

• Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
• 4 years of experience in financial planning and analysis (FP&A), consulting, or a related function.
• Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
• Experience with programming (i.e. SQL).

Preferred qualifications:

• Experience with building data infrastructure (e.g., designing architecture, building data pipelines, implementing scalable monitoring) and implementing reporting solutions.
• Experience in developing strategies in fast-paced competitive environments, impeccable business judgment for resource allocation decisions to achieve the desired business outcome.
• Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights.
• Ability to take ownership, confidence to interact with all levels, set objectives, drive results, and be a team player.
• Excellent communication skills with the ability to work with a wide variety of departments.