Data Analytics Sales Jobs in California (NOW HIRING)

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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.

Preferred qualifications:

• Experience carrying and exceeding business goals in a sales role.
• 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 complex sales cycles aligned to Data and Analytics.
• 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.
• Knowledge of trends, products, and solutions in Cloud and Data and Analytics (BigQuery, Looker, Dataproc, Pub/Sub), including experience with data analytics technology stack.

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 help us grow our Data Analytics 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, 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 our product solutions roadmap. You will shape customers' cloud and Data Analytics strategy and enable digital transformation. You will lead 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.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $200000 (USD) 100% bonus target equity benefits
Learn more about benefits at Google .
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 direction of accounts.
• Deliver against quota and achieve or exceed 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 Analytics solution roadmaps with customers, understanding their unique and complex 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, competitors, and how they can transform their business using our technologies.

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