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- Tasks: Lead a team to grow Google Cloud's Data Analytics business and build customer relationships.
- Company: Join Google Cloud, a leader in digital transformation and innovative technology solutions.
- Benefits: Enjoy a positive team culture, career development opportunities, and the chance to work with cutting-edge technology.
- Why this job: Be part of a high-performing team that drives impactful business growth and customer success.
- Qualifications: 12 years in sales, experience in data analytics, and strong people management skills required.
- Other info: Google is an equal opportunity employer committed to diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
Minimum qualifications:
- Bachelor\’s degree or equivalent practical experience.
- 12 years of experience in a sales role in the enterprise software or cloud space.
- People management experience within a quota-carrying team.
- Experience selling data analytics or data management technologies to clients.
- Ability to communicate in English fluently to support client relationships in the region.
Preferred qualifications:
- Experience in people and business management with supporting career development of a sales team and business growth.
- Experience planning and organizing go-to-market strategies, business programs, and sales activity within your team and territory.
- Experience influencing cross-functional teams to impact business goals, customer experience, and expansion.
- Experience with relevant technical stacks and Google Cloud Data Analytics offerings (e.g., Predictive Analytics, Hadoop/Spark Data lakes).
- Experience leveraging knowledge of relevant products, solutions, and market trends, with analytical abilities to analyze sales performance data or market changes to drive strategic direction.
- Excellent problem solving, communication, presentation, listening and program management skills.
About the job
As a Data Analytics Sales Specialist Manager, you will lead a team responsible for growing our Data Analytics business by building and expanding relationships with new and existing customers. You will effectively build relationships with internal stakeholders (e.g., Field Sales, Customer Engineering, Solution Architecture, Product) and customers, supporting the team to do the same. You will ensure your team has the necessary selling skills to demonstrate product functionality and comprehensive overviews of key business use cases, and close business. You will support a positive, high-performing team culture, while leading with empathy and identifying innovative ways to multiply the impact of the team as a whole to drive 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
- Promote a positive and high-performing team culture, supporting your managers and extended teams to drive pipeline, manage business cycles from lead generation to customer onboarding, and meet and exceed sales goals.
- Develop and own the go-to-market plan to scale and impact your business in key areas: Revenue, Net New Customer Growth, Customer Expansion and conservation, Customer Referenceability.
- Partner with Field Sales, Marketing, Customer Engineering, Customer Success, Channels, Product, and Engineering to understand customers’ voice, impact messaging and collateral, and provide excellent prospect and customer experience.
- Expand relationships to influence long-term strategic direction and be a trusted advisor to your team and their accounts. Inspire executives at prospective customers to partner with Google.
- Represent your business in forecasts, town halls, and meetings. Report forecasts and business performance in Salesforce and other tools.
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. #J-18808-Ljbffr
Data and Analytics Sales Manager, Google Cloud employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and Analytics Sales Manager, Google Cloud
✨Tip Number 1
Familiarise yourself with Google Cloud's Data Analytics offerings. Understanding products like Predictive Analytics and Hadoop/Spark Data lakes will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with current or former employees of Google Cloud, especially those in sales roles. They can provide insights into the company culture and expectations, which can be invaluable during your discussions.
✨Tip Number 3
Prepare to discuss your experience in managing sales teams and driving business growth. Be ready with specific examples that showcase your leadership skills and how you've influenced cross-functional teams in the past.
✨Tip Number 4
Stay updated on market trends related to data analytics and cloud technologies. Being able to speak knowledgeably about industry changes and how they impact customer needs will set you apart as a candidate.
We think you need these skills to ace Data and Analytics Sales Manager, Google Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in sales roles, particularly in enterprise software or cloud space. Emphasise your people management skills and any relevant achievements in data analytics or data management technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of Google Cloud's offerings and how your background aligns with the responsibilities of the Data and Analytics Sales Manager role. Mention specific examples of how you've driven business growth and developed teams in previous positions.
Highlight Relevant Experience: In your application, clearly outline your experience with go-to-market strategies and your ability to influence cross-functional teams. Use metrics to demonstrate your success in meeting sales goals and expanding customer relationships.
Showcase Communication Skills: Since communication is key for this role, ensure your application reflects your strong presentation and listening skills. You might include examples of how you've effectively communicated with stakeholders or led successful team initiatives.
How to prepare for a job interview at WeAreTechWomen
✨Showcase Your Sales Experience
Be prepared to discuss your extensive sales experience in the enterprise software or cloud space. Highlight specific achievements, such as exceeding quotas or successfully managing a sales team, to demonstrate your capability in driving results.
✨Understand Google Cloud's Offerings
Familiarise yourself with Google Cloud's Data Analytics products and services. Being able to speak knowledgeably about offerings like Predictive Analytics and Hadoop/Spark Data lakes will show your technical competence and enthusiasm for the role.
✨Demonstrate Leadership Skills
Prepare examples of how you've successfully managed teams and supported their career development. Discuss your approach to fostering a positive team culture and how you inspire others to achieve business goals.
✨Prepare for Cross-Functional Collaboration
Think of instances where you've influenced cross-functional teams to achieve business objectives. Be ready to explain how you can leverage these experiences to enhance collaboration between sales, marketing, and engineering at Google Cloud.
