Data Analytics Sales Specialist, Financial Services, Google Cloud

JobsCloseBy Editorial Insights

Google Cloud seeks a Data Analytics Sales Specialist in London to grow its data analytics business by building relationships with customers, delivering value, and leading go-to-market efforts across enterprise accounts in financial services. Requirements: bachelor’s or equivalent, 10+ years in enterprise software or cloud sales, and a proven record selling data analytics or data management tech with strong data concepts. Preferred: experience with data warehouses, data lakes, streaming, ETL/ELT, data governance, and the Google Cloud stack (BigQuery, Looker, Dataproc, Pub/Sub). Responsibilities: manage teams, drive pipeline, and exceed quota. To apply, tailor your resume to quantify impact, showcase outcomes, and illustrate collaboration with product teams and executive relationships in financial services.

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 selling data analytics or data management technologies to clients.
• Experience with big data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations.

Preferred qualifications:

• Experience developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
• Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, build cases for transformation with implementation plans.
• Experience prioritizing and planning business activity and transformation strategies.
• Experience supporting executive relationships, and developing new territories/accounts.
• Experience in, or supporting the financial services industry.
• Knowledge of trends, products, and solutions in cloud and Data and Analytics (e.g., BigQuery, Looker, Dataproc, Pub/Sub), and 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, pitch and 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 business organization. You will lead go-to-market strategies and business 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 the 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.

Responsibilities

• Cultivate relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing long-term direction of accounts.
• Achieve or exceed quota and business and growth goals while forecasting and reporting your territory’s business.
• Collaborate 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.
• Execute account plans, including a broader enterprise plan across key industries, focus on building accounts.
• Manage multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, performers, and how they can transform their business using our technologies.