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Measurement Implementation Expert, gTech Ads, GCS (English, French, Spanish)
About the job
g Tech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing technical and measurement solutions along with consultative support for customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.
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’ 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 based on their MOs/CBOs, measurement objectives and provide optimal measurement strategy and define right Key Performance Indicator (KPIs) based on their eligibility criteria.
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Design and execute measurement studies (Conversion Lift studies, MMM calibrations etc.) for clients, optimizing for success and ensuring Stat Sig read on uplift.
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Leverage knowledge of measurement platforms (e.g Ads, GeoX or CL platforms) and advanced analytical skills to design measurement studies to model results, triage ROI analysis across broader media plans, and attribute lift across channels to guide the right channel strategy.
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Collaborate with Account Executives (AE) and Media Effectiveness rPL (rPSA) to interpret measurement results, 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 in translating quantitative data into actionable insights.
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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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Ability to communicate in English, French and Spanish fluently to support client relationship management in this region.
Preferred qualifications
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MBA or Master's degree.
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Certification in analytics and digital advertising measurement.
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8 years of experience with media mix modeling, A/B testing, incrementality, marketing analytics, and advanced Google Analytics integrations.
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Ability to work in fast-moving environments with effective time-management skills.
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Ability to work on their own and collaborate as part of a team.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Junior/L3
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试评价
9条评价
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense