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Measurement Implementation Expert, gTech Ads, Google Customer Solutions (English, Japanese)

Measurement Implementation Expert, gTech Ads, Google Customer Solutions (English, Japanese)
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•401(k) matching
•Parental leave
•Flexible work arrangements
•Professional development budget
•Generous paid time off and holidays
•Parental Leave
•Flexible Hours
•Learning
Required Skills
React
TypeScript
PostgreSQL
About the job
Google creates products and services that make the world a better place, and g Care’s role is to help bring them to life. The teams of trusted advisors support customers globally. The solutions are rooted in the technical skill, product expertise, and a thorough understanding of the 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 the customers benefit from the full potential of Google products. g Care Google Customer Solutions (GCS) is GCS’s arm that partners specifically to solve for the GCS segment of high-growth, dynamic and big opportunity customers focusing on both depth and breadth technical solutions.
In this role, you will help shape how new and existing businesses grow. You will understand customer business objectives and solve relevant measurement problems that advance measurement maturity across Google’s product suite. You will be responsible to help the customers navigate increasing measurement ambiguity through a deep command of trends around privacy, conversion analytics, and attribution best practices.
Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
Responsibilities
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Develop a deep understanding of client needs basis their marketing objectives/client business objectives, measurement objectives and provide optimal measurement strategy and define right key performance indicators based on their eligibility criteria.
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Design and execute measurement studies (conversion lift studies, marketing mix modeling calibrations etc.) for clients and optimize for success, and ensure there is a Stat Sig read on uplift.
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Provide knowledge of measurement platforms (e.g., Ads, Geo Experiments or Conversion Lift Platforms) and advance problem-solving skills to design measurement studies. Model results and triage to return on investment analysis on the broader media plans. Analyze attribute lift, across channels to inform the right channel strategy.
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Partner with account executives and Media Effectiveness rPL (rPSA) 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 working with digital media or digital marketing/advertising solutions, implementing and measuring digital advertising campaigns, and providing client solutions.
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Experience with SQL or scripts, building data models or analytic dashboards to pull insights from data sets.
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Experience in translating quantitative data into actionable insights.
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Ability to communicate in English and Japanese fluently to support client relationship management in this region.
Preferred qualifications
- Master's degree in Analytics.
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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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