Minimum qualifications:

• Experience as an analyst or working in a consulting/financial services environment.
• Experience with business intelligence tools, including Looker, Tableau, or similar.
• Experience writing SQL queries, including creating and maintaining tables.
• Ability to speak and write in English fluently.

Preferred qualifications:

• Experience interacting with executive business stakeholders.
• Experience using data to deliver actionable insights and drive change.
• Understanding of building infrastructure, data pipelines, and assets through robust change control.
• Ability to work in an unstructured environment, navigate ambiguity, and work with clarity and structure.
• Ability to create, foster, and manage cross-functional networks without authority.

About the job

As a Data Analytics Sales Specialist, you will support the Data Analytics Specialist Sales team and help build Google Cloud’s specialist business motion. With Sales Operations leads, you will also partner with the EMEA and Global Data Analytics leadership to build a scalable infrastructure and develop business tools/dashboards that support the day-to-day operations and Go-To-Market strategy. You'll also derive actionable insights that help the team accelerate business growth whilst improving Google’s ability to serve its Google Cloud customers at scale.

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.

Responsibilities

• Lead the Data Analytics Sales teams with at-scale dashboards, tools, insights, and analysis.
• Build the core data infrastructure to help the organization run the business from executive leadership through the front line.
• Establish analyst to analyst relationships with regional and global counterparts to align data analytics tools, processes, and insights
• Act as a collaborative business partner and subject matter expert for data.
• Contribute to building analysis to provide actionable insights to regional executive leadership.