Data Analytics Sales Specialist III, Google Cloud (German, English)

Google Germany GmbH; München; On-site; EUR 70,000 - 90,000; Full time

Job summary

IT-Systemhaus der Bundesagentur für Arbeit in Munich is seeking an experienced Account-Manager/in specialized in data analytics sales. The role involves growing the data analytics business by building relationships with customers and delivering business value through product functionality.

The ideal candidate should have 10 years of sales experience in enterprise software or cloud space and be fluent in both German and English. The position offers opportunities to manage strategic business goals and develop innovative solutions with clients.

Qualifications

• 10 years of experience in sales within enterprise software or cloud space.
• Experience selling data analytics or management technologies.
• Ability to manage relationships with stakeholders.

Responsibilities

• Expand relationships with new and existing customers.
• Lead go-to-market strategies and manage campaigns.
• Develop analytics solution roadmaps with customers.

Skills

Fluent in German and English

Sales strategy execution

Relationship management

Data analytics knowledge

Education

Bachelor's degree or equivalent

Tools

Google Cloud products (BigQuery, Looker)

Job description

Account-Manager/in

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.

Ability to communicate in German and English fluently to manage relationships with local and international stakeholders.

Preferred Qualifications

Experience carrying and exceeding strategic business goals in a sales role.

Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.

Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.

Experience prioritizing and planning sales activity and transformation strategies within business cycles aligned to data and analytics.

Knowledge of trends, products, and solutions in Cloud and Data and Analytics (BigQuery, Looker, Dataproc, Pub/Sub), including experience with data analytics technology stack.

About the Job

As a Data Analytics Sales Specialist, you will help grow the data analytics business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver business value, 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 sales organization. You will lead go-to-market strategies and sales plays, manage campaigns, and provide feedback to product and global solutions teams to inform the product solutions roadmap. You will shape customers’ cloud and data analytics strategy and enable digital transformation. You will be responsible for identifying innovative ways to multiply impact and the impact of the team as a whole to drive overall value for Google Cloud.

Build relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts.

Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting territory business.

Work 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 positive prospect and customer experience.

Develop analytics solution roadmaps with customers, and work to understand their unique requirements on a business and technical level.

Work with multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using technologies.