At a Glance
- Tasks: Build relationships and drive business growth in Data Analytics sales.
- Company: Join Google Cloud, a leader in digital transformation and innovative technology solutions.
- Benefits: Enjoy a full-time role with opportunities for remote work and diverse corporate perks.
- Why this job: Make an impact by shaping customer strategies and driving digital transformation with cutting-edge technology.
- Qualifications: Bachelor's degree and 10 years of sales experience in enterprise software or cloud required.
- Other info: Google is committed to diversity and equal opportunity in the workplace.
The predicted salary is between 43200 - 72000 £ per year.
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.
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 prioritising and planning business activity and transformation strategies within complex 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 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, 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 overall value for Google Cloud.
Responsibilities:
- Build relationships with customers as a subject matter expert and trusted advisor, managing complex 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 your territory’s 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 excellent prospect and customer experience.
- Develop Analytics solution roadmaps with customers, understanding their unique and complex 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 our technologies.
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.
Sales Specialist, Data Analytics employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Specialist, Data Analytics
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in data analytics and cloud solutions. Being well-versed in products like BigQuery, Looker, and Dataproc will not only boost your confidence but also demonstrate your expertise during discussions with potential employers.
✨Tip Number 2
Network with professionals in the data analytics and cloud space. Attend industry events, webinars, or local meetups to connect with others in the field. Building relationships can lead to valuable insights and even job referrals.
✨Tip Number 3
Prepare to discuss your experience in exceeding sales targets and managing complex business cycles. Be ready to share specific examples of how you've successfully built relationships with clients and influenced their strategic direction.
✨Tip Number 4
Research StudySmarter and understand our mission and values. Tailoring your conversations to align with our goals will show that you're genuinely interested in contributing to our success as a Data Analytics Sales Specialist.
We think you need these skills to ace Sales Specialist, Data Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10 years of experience in sales, particularly in enterprise software or cloud space. Emphasise your achievements in selling data analytics technologies and any specific metrics that demonstrate your success.
Craft a Compelling Cover Letter: In your cover letter, explain how your experience aligns with the responsibilities of the Sales Specialist role. Mention your ability to build relationships with customers and your experience in managing complex business cycles.
Showcase Relevant Skills: Highlight your knowledge of data analytics trends and technologies, such as BigQuery and Looker. Discuss your experience working with cross-functional teams and how you have successfully driven business growth in previous roles.
Prepare for the Interview: Research Google Cloud's products and solutions. Be ready to discuss how you can contribute to their Data Analytics strategy and provide examples of how you've previously exceeded strategic business goals.
How to prepare for a job interview at Google
✨Know Your Data Analytics
Make sure you have a solid understanding of data analytics technologies, especially those mentioned in the job description like BigQuery and Looker. Be prepared to discuss how these tools can drive business value and transformation for clients.
✨Demonstrate Your Sales Success
Come ready to share specific examples of how you've exceeded sales targets in previous roles. Highlight your experience in managing complex business cycles and building executive relationships, as this will show your capability to thrive in a strategic sales environment.
✨Showcase Your Collaborative Skills
Since the role involves working with cross-functional teams, be prepared to discuss how you've successfully collaborated with different departments in past positions. Share examples of how you’ve worked with technical leads or marketing teams to achieve common goals.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and ability to develop go-to-market strategies. Think about how you would approach a new customer or territory and be ready to outline your strategy for success.