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채용

채용Google

Senior Financial Analyst, Cloud Central Finance

Google

Senior Financial Analyst, Cloud Central Finance

Google

·

On-site

·

Full-time

·

2w ago

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. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges.

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 $142,000-$205,000 + 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

  • Develop a comprehensive understanding of the Cloud business model, integrating rigorous financial analysis with a strategic lens to drive long-term value.

  • Build and evolve sophisticated financial models to project long-term P&L, FCF, and ROIC, translating complex business drivers into actionable strategic insights.

  • Execute complex analyses with high precision under tight deadlines, ensuring data source reliability and accuracy.

  • Synthesize complex cross-functional inputs into succinct, compelling narratives for executive leadership.

Minimum qualifications

  • Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.

  • 7 years of experience in Financial Planning and Analysis (FP&A), consulting, or a related function, or an advanced degree.

  • Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.

Preferred qualifications

  • Experience with FP&A across the full P&L, cash flow.

  • Comfort with ambiguity and proven ability to make progress/drive insights with incomplete information.

  • Strong time-management skills that empower you to prioritize competing deliverables.

  • Strong people skills.

  • Strong problem solving and critical thinking skills, with business judgement to drive analysis and narratives for senior leadership.

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Google 소개

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Mid/L4

Senior/L5

Mid/L4 · Technical Program Manager

1,213개 리포트

$365,196

총 연봉

기본급

$187,658

주식

$130,822

보너스

$46,717

$242,776

$576,787

면접 경험

9개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense