Data Analytics Sales Specialist, Google Cloud (english, Spanish)

Data Analytics Sales Specialist, Google Cloud (English, Spanish)

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 help us grow the Data Analytics business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver 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, serving as a solution lead within the sales organization. You will lead go-to-market strategies and sales plays, manage campaigns, and provide feedback to Product and Global Solutions teams to inform the product solutions roadmap. You will shape customers' cloud and Data Analytics strategy and enable digital transformation.

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:

• Build relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing long-term direction of accounts.
• Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting territory 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 analytics solution roadmaps with customers, understanding their requirements on a business and technical level.
• 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 their business using technologies.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in a sales role in the enterprise software or cloud space.
• Experience selling data analytics or data management technologies to clients.
• Ability to communicate in English and Spanish fluently to support client relationship management in this region.

Preferred qualifications:

• Experience carrying and exceeding business goals in a sales role.
• Experience with data analytics technology stack.
• Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
• Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption, and expansion.
• Experience prioritizing and planning sales activity and transformation strategies within business cycles aligned to Data and Analytics.
• Knowledge of trends, products, and solutions in Cloud and Data and Analytics (e.g., BigQuery, Looker, Dataproc, Pub/Sub).