Data Analytics Sales Specialist
@ Google

Melbourne, Victoria, Australia
A$150,000
On Site
Full Time
Posted 24 days ago

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XXXXXXXX XXXXXXXXX XXXXXXX***** @google.com
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Job Details

About the Data Analytics Sales Specialist Role

At Google, the role empowers customers to digitally transform their business using Google Cloud technology. The position requires a strong background in data analytics, data warehousing, and sales strategy execution within the technology space.

Key Responsibilities

  • Build and maintain executive-level customer relationships.
  • Develop and execute territory and account plans.
  • Collaborate with technical teams and sales engineers.
  • Assist customers in identifying use cases for Google Cloud Data and Analytics solutions.
  • Drive go-to-market efforts with Google Cloud partners.
  • Calibrate business objectives and report key metrics.

Minimum and Preferred Qualifications

Applicants must have a Bachelor’s degree or equivalent practical experience and 10 years of experience promoting data analytics or data management software. Preferred experience includes proficiency with market leading BI, data analytics middleware, and a comprehensive knowledge of technologies such as Hadoop/Spark, BigQuery, Looker, and Pub/Sub.

About Google Cloud

The Google Cloud Platform team supports a diverse set of customers and industries by delivering secure, reliable, and scalable solutions with cutting-edge technology. This role is critical in shaping customer strategies for digital transformation.

Key skills/competency

  • Data Analytics
  • Sales Strategy
  • Google Cloud
  • BigQuery
  • Looker
  • Pub/Sub
  • Hadoop
  • Customer Engagement
  • Account Management
  • Territory Planning

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor your resume to highlight data analytics and sales expertise.
  • Research Google Cloud: Understand its products, innovations, and market positioning.
  • Showcase Collaboration: Emphasize teamwork with technical and sales teams.
  • Prepare for Interviews: Practice business case and strategy discussions.

📝 Interview Preparation Advice

Technical Preparation

Review Google Cloud data products documentation.
Practice case studies on data analytics scenarios.
Refresh skills on Hadoop, Spark, ETL processes.
Analyze data warehousing and middleware solutions literature.

Behavioral Questions

Discuss teamwork in strategic projects.
Explain conflict resolution with clients.
Describe handling ambitious sales targets.
Share experiences with executive client engagement.

Frequently Asked Questions