As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what’s right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
As a Data Analytics Sales Specialist, you will be responsible for growing our Data Analytics business by building and expanding relationships with existing Data Analytics customers. You will build relationships with Cloud Field Sales, Customer Engineers, and other executive Google Data Analytics stakeholders. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply your impact and the impact of the team as a whole. You will partner with internal Google Cloud Platform (GCP) sales teams to grow their data businesses and drive the overall value for GCP.
Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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 $125,000-$190,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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 benefits at Google.
Build and maintain executive relationships with customers as the Data Analytics Subject Matter Expert.
Develop and execute strategic account plans and influence long-term strategic direction for our existing Data Analytics customers in partnership with Google Cloud Field Sales, Customer Engineers, and other executive Google Data Analytics stakeholders.
Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiators and measurable business impacts.
Work with Google account and technical teams to develop and drive pipelines, and provide expertise.
Execute Go-To-Market business plays and related efforts with Cloud Teams and Google Cloud Platform (GCP) Partners.
Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: New York, NY, USA; Austin, TX, USA; Chicago, IL, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.
Remote location(s): United States.
10 years of experience promoting analytics, data warehousing, or data management software
Experience planning, pitching, and executing a territory business strategy
Experience working with sales engineers and customers' technical leads to build business cases for transformation and the accompanying plan for implementation
Experience working with and managing partners in complex implementation projects, including global system integrators and packaged software vendors
Experience executing large, complex commercial and legal negotiations with procurement, legal, and business teams
Experience and understanding of technology stack (e.g. Business Intelligence, Predictive Analytics, Hadoop/Spark Data lakes, Columnar Data Warehouses, Data Streaming, ETL, and Data governance)
Familiarity with Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, DataProc, PubSub, etc.)
Ability to engage and influence executive stakeholders as a business advisor and thought leader in Data and Analytics