채용
복지 및 혜택
•Unlimited Pto
필수 스킬
Salesforce
HubSpot
Zoom
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.
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
3.7
25개 리뷰
워라밸
3.8
보상
4.2
문화
3.4
커리어
3.9
경영진
2.8
68%
친구에게 추천
장점
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
단점
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
연봉 정보
57,502개 데이터
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0개 리포트
$176,704
총 연봉
기본급
-
주식
-
보너스
-
$150,298
$203,110
면접 경험
9개 면접
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%
보통 56%
부정 44%
면접 과정
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
뉴스 & 버즈
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3d ago
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3d ago