招聘
福利待遇
•Learning
•Equity
必备技能
Google Analytics
Salesforce
Marketo
About the job
Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges.
As someone who knows the workings of the core Finance team inside and out, you'll lead individual projects to transform planning, tracking and control processes. You'll provide senior level management with insightful recommendations, planning and reporting support.
In this role, you will have the opportunity to work across Marketing to understand the impact of a primary investment area, as well as the organization's largest Ads product. You will work in close partnership with finance colleagues from across Marketing, Sales, and Corporate Finance to consult on reporting and decision support for a wide range of activities (e.g., investment strategies, market drivers, business profitability, and resource allocation).
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 $92,000-$132,000 + 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
-
Improve and maintain Marketing’s business and cost data infrastructure and dashboards.
-
Play a lead role in providing weekly, monthly, and quarterly reporting for critical areas within Ads Marketing and broader impact/KPIs across Marketing.
-
Aid teammates in data-intensive analyses to understand drivers of business growth, risks, and opportunities; translate insights into business change through executive-level presentations.
Minimum qualifications
-
Bachelor's degree in Business, Finance, Economics, or another quantitative
field, or equivalent practical experience. -
2 years of experience in financial planning and analysis, consulting,
related function, or an advanced degree.
Preferred qualifications
-
Experience in high data volume environments within the software, internet, media, or telecoms industries.
-
Experience using SQL to manipulate datasets and create dashboards or models.
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Knowledge of Google Ads or Marketing.
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Ability to turn data into actionable insights with exceptional attention to detail, while acting as a team player who supports others and promotes positive morale.
-
Excellent written and verbal communication and people management skills.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Mid/L4
Senior/L5
Mid/L4 · Technical Program Manager
1,213份报告
$365,196
年薪总额
基本工资
$187,658
股票
$130,822
奖金
$46,717
$242,776
$576,787
面试经验
9次面试
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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