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For Companies At a Glance
- Tasks: Drive data analytics sales and build strong customer relationships to deliver business value.
- Company: Join Google Cloud, a leader in digital transformation and innovative technology solutions.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Shape the future of data analytics and make a real impact on businesses worldwide.
- Qualifications: 10 years in sales with expertise in data analytics and cloud technologies.
- Other info: Collaborative environment with a focus on innovation and customer success.
The predicted salary is between 43200 - 72000 £ per year.
Advanced experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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 with 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, and close agreements.
- Experience supporting executive relationships, and developing new territories/accounts.
- Experience prioritising and planning sales activity and transformation strategies.
- 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 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 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 organisation's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's 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.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Data Analytics Sales Specialist III, Google Cloud in London employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Sales Specialist III, Google Cloud in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Google or in similar roles. A friendly chat can lead to valuable insights and even referrals that could get your foot in the door.
✨Tip Number 2
Showcase your expertise! Prepare to discuss your experience with data analytics and cloud technologies in detail. Be ready to share specific examples of how you've solved complex problems and influenced stakeholders in past roles.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your pitch and responses. Focus on articulating how you can drive business growth and deliver value to customers using Google Cloud solutions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team and contributing to our mission of helping businesses transform digitally.
We think you need these skills to ace Data Analytics Sales Specialist III, Google Cloud in London
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your 10 years of experience in sales, especially in the enterprise software or cloud space. We want to see how you've tackled ambiguous problems and influenced stakeholders in your previous roles.
Be Specific About Your Skills: When discussing your expertise, dive into the specifics of data analytics technologies you've worked with. Mention any big data concepts, SQL, NoSQL, or data governance tools you've used. This helps us understand your depth of knowledge.
Tailor Your Application: Customise your application to reflect the responsibilities mentioned in the job description. Show us how you can cultivate relationships with customers and manage multiple opportunities simultaneously. We love seeing tailored applications!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Google Inc.
✨Know Your Stuff
Make sure you have a solid understanding of data analytics and cloud technologies. Brush up on big data concepts, SQL, and the specific tools mentioned in the job description, like BigQuery and Looker. Being able to discuss these topics confidently will show that you're the right fit for the role.
✨Showcase Your Experience
Prepare to share specific examples from your past roles where you've successfully influenced stakeholders or solved ambiguous problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your achievements in sales and customer relationships.
✨Understand the Company Culture
Familiarise yourself with Google's values and culture. They emphasise empathy and collaboration, so think about how you can demonstrate these qualities during your interview. Be ready to discuss how you would build relationships with customers and cross-functional teams.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current challenges in data analytics or how they envision the future of cloud solutions. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.
