Jobs
Benefits & Perks
•Competitive salary and equity package
•Parental leave
•Comprehensive health, dental, and vision insurance
•Team events and activities
•Equity
•Parental Leave
•Healthcare
Required Skills
Python
PostgreSQL
JavaScript
About the job
Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals.
Google creates products and services that make the world a better place, and g Tech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
Responsibilities
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Develop an understanding of client needs basis their Marketing Objectives (MOs), measurement objectives and provide measurement strategy and define Key Performance Indicators (KPIs) based on their eligibility criteria.
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Design and execute measurement studies (Conversion Lift studies, Marketing Mix Modeling (MMM) calibrations etc.) for clients and position for success.
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Leverage knowledge of measurement platforms (e.g., Ads, GeoX) and skills to design measurement studies, model results, and triage to Return on Investment (ROI) analysis on the media plans to inform the channel strategy.
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Partner with Account Executives (AE) and Regional Product Lead (RPL) to interpret measurement results for the client and identify opportunities to increase product adoption for key solutions and grow investment.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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5 years of experience with marketing analytics, return on investment, and statistical analysis.
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Experience with SQL or scripts, building data models and dashboards.
Preferred qualifications
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Master’s degree in Analytics and Digital Advertising Measurement.
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Experience with MMM, A/B testing, incrementality, marketing analytics, and Google Analytics integrations.
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Ability to collaborate as part of a cross-functional team.
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Ability to work in a fluid environment with excellent time-management skills.
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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
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
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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