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Benefits & Perks
•Team events and activities
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Professional development budget
•Equity
•Healthcare
•Learning
Required Skills
Python
JavaScript
TypeScript
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 marketing and business objectives (MOs/CBOs). Design optimal measurement strategies and define sophisticated KPIs tailored to client maturity and eligibility.
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Lead the execution of measurement studies including conversion lift, brand lift, and geo-based experiment. Ensure rigorous statistical significance (Stat Sig) on all uplift data.
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Utilize advanced investigative skills to model experimental results and triage them into broader media plan ROI analyses. Analyze attribute lift across channels to inform high-level channel strategy and budget allocation.
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Reconcile disparate data sources (MMM, MTA, and Incrementality) to provide a unified narrative of media effectiveness, help clients navigate the shift toward third-party independent measurement.
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Partner with in-market sales and product specialist teams to interpret complex measurement results for client leadership.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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5 years of experience in marketing analytics, return on investment (ROI) analysis, and statistical modeling.
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Experience in designing and executing incrementality studies and A/B testing frameworks.
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Experience in managing external and internal stakeholder relationships and owning a portfolio of customers.
Preferred qualifications
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Experience in SQL, Python, or R for building data models and pulling insights from large, complex datasets.
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Experience in defining measurement frameworks for mid-funnel and audience acquisition goals, and moving beyond traditional last-click conversion tracking.
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Experience in Media Mix Modeling (MMM), Incremenality and Multi-Touch Attribution (MTA) tools , with the ability to validate and integrate results from multiple measurements.
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Understanding of the technical trends around privacy-safe measurement, conversion analytics, and attribution best practices.
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Ability to translate raw quantitative data into actionable business insights for executive stakeholders.
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Excellent communication 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%
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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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