A person with disabilities will be given preferential consideration per local regulations.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Munich, Germany; Berlin, Germany; Frankfurt, Germany; Hamburg, Germany.
- Bachelor's degree or equivalent practical experience.
- Candidates will typically have 10 years of experience in quota-carrying enterprise account sales.
- Experience in sales with data processing workflows, data analytics, business intelligence, or data visualization software.
- Experience in the Manufacturing Industry.
- Ability to communicate in English and German fluently as this is a customer-facing role that requires interactions with local stakeholders.
- Ability to translate business value to technology at C-level and act as a leader in the data analytics topics.
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 for 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 create and execute the Data Analytics sales strategy. You will apply Google Cloud’s Data Analytics solutions to enterprises and navigate agreement processes.
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.
- Understand Cloud Data Analytics technology stack (i.e., Hadoop/Spark Data lakes, SQL Data Warehouses, Data Streaming, ETL and Data governance, Business Intelligence, Predictive Analytics, OLAP and Data science framework, BigQuery, Looker etc.).
- Understand Data Analytics solutions and engaged landscape.
- Build enterprise accounts, sales pipelines and forecasting. Understand the cloud market and how to drive business consumption with client's needed.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.