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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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Googleについて

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
従業員数
Mountain View
本社所在地
$1,700B
企業価値
レビュー
10件のレビュー
4.5
10件のレビュー
ワークライフバランス
3.2
報酬
4.3
企業文化
4.1
キャリア
4.2
経営陣
3.8
82%
知人への推奨率
良い点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
改善点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
給与レンジ
57,503件のデータ
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Junior/L3 · Data Scientist L3
0件のレポート
$176,704
年収総額
基本給
-
ストック
-
ボーナス
-
$150,298
$203,110
面接レビュー
レビュー9件
難易度
3.4
/ 5
期間
14-28週間
内定率
44%
体験
ポジティブ 0%
普通 56%
ネガティブ 44%
面接プロセス
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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