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Financial Analyst, Media Incentives
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 Media Incentives team ensures that Google makes sound financial decisions for our Media Incentives Programs. As a Financial Analyst, your work, whether it's modeling investment scenarios or tracking performance metrics, is used by our business leaders to make strategic decisions.
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 $117,000-$167,000 + 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
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Perform analysis of datasets to extract relevant information, identify trends, and generate actionable insights for the business.
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Manage projects involving multiple stakeholders, timelines, organizational implications, and changing circumstances.
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Leverage technical expertise to provide quantitative analysis around incentives programs, including support for ROI and incrementality studies, working in partnership with other teams.
Minimum qualifications
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Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
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4 years of experience in financial planning and analysis, consulting, or a related function, or an advanced degree.
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Experience with programming (i.e. SQL).
Preferred qualifications
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Experience in developing strategies in fast-moving engaged environments, effective business acumen for resource allocation decisions to achieve the business outcome.
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Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights.
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Ability to take ownership, interact with all levels, set objectives, drive results, and be a team player.
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Excellent communication skills with the ability to work with a wide variety of departments.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Mid/L4
Senior/L5
Mid/L4 · Technical Program Manager
1,213 reports
$365,196
total per year
Base
$187,658
Stock
$130,822
Bonus
$46,717
$242,776
$576,787
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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