Data Analytics Sales Specialist III
Job Summary
Job Description
- 10+ years enterprise software/cloud sales experience
- Data analytics/management sales experience
- Exceeding strategic business goals
- Building executive relationships
- Developing new territories/accounts
- Experience with BigQuery, Looker, Dataproc, Pub/Sub
- Knowledge of data analytics technology stack
- Prioritizing and planning sales activity
- Working with cross-functional teams
- Bonus
- Equity
- Benefits
4 skills required
Job Details
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 in selling data analytics or data management technologies to clients.
Preferred qualifications:
- Experience carrying and exceeding strategic business goals in a sales role.
- Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
- Experience in prioritizing and planning sales activity and transformation strategies within complex business 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 (e.g., BigQuery, Looker, Dataproc, Pub/Sub), including experience with data analytics technology stack.
About the job
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.
The US base salary range for this full-time position is $134,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
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 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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