Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 7 years of experience in a sales role in the enterprise software or cloud space.
- Experience selling either Business Intelligence (BI) or Software-as-a-Service (SaaS) technology.
- Ability to communicate in Mandarin and English fluently in order to communicate with our customers and internal stakeholders.
- Experience carrying and exceeding business goals in a sales role.
- Experience supporting long-term executive relationships, and developing territories/accounts from scratch, while ensuring customer success, adoption and expansion.
- Experience prioritizing, planning, and organizing sales activity within business cycles, including qualifying accounts and leveraging partner ecosystems.
- Experience working with internal/external teams to inventory existing software estates, build cases for transformation with implementation plans, and close agreements.
- Knowledge of trends, products, and solutions in Cloud, BI, and Data and Analytics (BI frontend, data analytics middleware, backend data warehouse technologies, BigQuery, Looker, Dataproc, Pub/Sub).
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About the job
As a Business Intelligence (BI) Sales Specialist, you will help us grow our BI business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver true business value, demonstrate product functionality, and provide a comprehensive overview of key business use cases. You will lead day-to-day relationships with cross-functional team members (e.g., Data Analytics Sales Specialists, Field Sales, Customer Engineering) and external customers, leading with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive overall value for Google Cloud.Looker is a unified platform that powers data experiences and delivers actionable business insights to employees at the point of decision. Looker integrates data into the daily workflows of users to allow organizations to extract value from data at web-scale.
Responsibilities
- Build relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts.
- Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting territory's business.
- Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
- Develop and execute account plans, including a broader enterprise plan across key industries, focus on building accounts.
- Work with multiple customers and opportunities simultaneously, understanding each customer's technology footprint and strategy, growth plans, business drivers, performers, and how they can transform business using technologies.