Data Analytics Sales Specialist, Google Cloud
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Key details
- Location
- Taipei, Taiwan
- Work style
- Onsite
- Level
- Lead / Staff+
- Experience
- 10–13 yrs
- Function
- Data & ML
- Focus area
- Data engineering & Analytics
- Posted
- 10h ago
Skills
About the role
About the job
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
- Calibrate business against the objectives and key results, forecast and report the state of the business for the assigned territory.
- Build and maintain relationships with customers as the data analytics subject-matter-expert, influencing the direction.
- Develop and execute account plans, including an enterprise plan across key industries. Focus on building accounts.
- Assist customers in identifying use cases suitable for Google Cloud data and analytics solutions, articulating key solution differentiation and the business impacts.
- 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:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in promoting analytics, data warehousing, or data management software.
- Experience working with sales engineers and customer technical leads to build business cases regarding plans for implementation.
Preferred qualifications:
- Experience with Business Intelligence (BI), data analytics middleware, or data warehouse technologies.
- Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework).
- Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Pub/Sub).
- Ability to engage audiences through social channels and deliver messages.
- Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics.
- Excellent business acumen and problem-solving skills, using data to inform decisions and influence stakeholders.
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in promoting analytics, data warehousing, or data management software.
- Experience working with sales engineers and customer technical leads to build business cases regarding plans for implementation.
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