招聘
福利待遇
•Unlimited Pto
必备技能
Salesforce
HubSpot
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About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Data Analytics Sales Specialist, you will build an understanding of our customers businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with Account teams, Customer Engineering, and Partners to ensure customer results.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
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Calibrate business against the objectives and key results, forecast and report the state of the business for the assigned territory.
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Build and maintain relationships with customers as the data analytics subject-matter-expert, influencing the direction.
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Develop and execute account plans, including an enterprise plan across key industries. Focus on building accounts.
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Assist customers in identifying use cases suitable for Google Cloud data and analytics solutions, articulating key solution differentiation and the business impacts.
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Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-to-Market (GTM) efforts with Google Cloud platform partners.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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10 years of experience in promoting analytics, data warehousing, or data management software.
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Experience working with sales engineers and customer technical leads to build business cases regarding plans for implementation.
Preferred qualifications
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Experience with Business Intelligence (BI), data analytics middleware, or data warehouse technologies.
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Understanding of data analytics technology stack (e.g., Hadoop/Spark, columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework).
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Understanding of Google Cloud Data and Analytics offerings (e.g., Big Query, Looker, Pub/Sub).
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Ability to engage audiences through social channels and deliver messages.
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Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics.
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Excellent business acumen and problem-solving skills, using data to inform decisions and influence stakeholders.
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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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