招聘
About the job
As an Data Transformation Lead, you are a trusted advisor to large customers and agencies, using data-driven insights to solve clients' growth issues and achieve their business goals. You will serve as the Google owner of clients’ marketing measurement plans and a key partner to Google's ad sales teams, who will work to bring the best of Google's advertising solutions to their customers. You will have an investigative background with experience in marketing analytics or statistical analysis. You are able to refine complex situations into a few actionable insights.
You will help clients modernize their marketing measurement by adopting best practices in proving media effectiveness. You will be an expert in the intersection of incrementality, marketing mix modeling (MMM), and attribution. You will use user behavior insights, customer segmentation, and Google internal data to devise marketing strategies that drive successful results.
Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.
The US base salary range for this full-time position is $108,000-$154,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Own the sales cycle for key data and measurement capabilities and tech infrastructure to drive customer adoption and growth of Google’s solutions. Develop and manage a sales pipeline for product adoption progress across the book of business.
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Establish as a trusted advisor and technical product seller who understands how durable measurement infrastructure strategy will help customers overcome unique industry and ecosystem challenges; and can articulate deep product knowledge to support customer business objectives.
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Work cross-functionally with sales, product or technical specialists, and Google partners to synthesize technical and strategic business requirements into cohesive business cases.
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Effectively sell and triage handoffs for implementation, act as a liaison between key partner teams to ensure project completion and on-going value is delivered.
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Identify, cultivate, and own client relationships within advertisers and agencies.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
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3 years of experience in Google advertising products and measurement solutions such as Google Analytics and Google Tag Manager.
Preferred qualifications
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1 year of client-facing experience, with the ability to influence across levels.
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Ability to analyze large datasets and distill them into actionable insights that are presented in a logical and compelling story.
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Excellent written and verbal communication skills, with the ability to deliver simple and compelling stories to audiences of all levels.
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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
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
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
面试经验
9次面试
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
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