Senior Data Analytics Cloud Solutions Sales Lead

Socket.dev; Sunnyvale (CA); On-site; USD 138,000 - 200,000; Full time

Job summary

Google Cloud is seeking a Data Analytics Sales Specialist to grow our Data Analytics business by building relationships with new and existing customers, demonstrating value, and guiding the transformation to analytics at scale.

You will lead day-to-day relationships with cross-functional teams, shaping customers' analytics strategy, and developing go-to-market plans to deploy solutions such as BigQuery, Looker, and Pub/Sub to drive adoption and expansion.

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.

Responsibilities

• Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles.
• Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting your territory’s business.
• Work with cross-functional teams to develop go-to-market strategies and drive pipeline and growth, close agreements.
• Develop analytics solution roadmaps with customers and understand their requirements on business and technical levels.
• Manage multiple customers and opportunities, aligning their technology footprint with transformation plans.

Skills

Enterprise sales

Data analytics sales

New territories

Executive relationships

Sales strategy

Go-to-market

Education

Bachelor's degree or equivalent practical experience

Job description

Google Cloud is seeking a Data Analytics Sales Specialist to grow our Data Analytics business by building relationships with new and existing customers, demonstrating value, and guiding the transformation to analytics at scale.

You will lead day-to-day relationships with cross-functional teams, shaping customers' analytics strategy, and developing go-to-market plans to deploy solutions such as BigQuery, Looker, and Pub/Sub to drive adoption and expansion.