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Business Intelligence Sales Specialist I – Looker – Google Cloud
Company | Google |
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Location | New York, NY, USA |
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Salary | $93000 – $133000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Mid Level, Senior |
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Requirements
- Bachelor’s degree or equivalent practical experience.
- 4 years of experience in a sales role in the enterprise software or cloud space.
- Experience selling business intelligence technologies to clients.
Responsibilities
- Build relationships with customers as a subject matter expert and trusted advisor, managing complex 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 your 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 strategic 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, competitors, and how they can transform their business using our technologies.
Preferred Qualifications
- Experience carrying and exceeding strategic 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 complex business cycles, including qualifying accounts and leveraging partner ecosystems.
- Experience working with internal/external teams to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
- Knowledge of market trends, products, and solutions in Cloud and BI (e.g., BI frontend, data analytics middleware, backend data warehouse technologies, BI technology stacks).