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- Tasks: Build relationships with customers and drive data analytics solutions for their business.
- Company: Join Google Cloud, a leader in digital transformation and innovative technology.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Why this job: Shape the future of data analytics and make a real impact in the financial services industry.
- Qualifications: 10 years in sales, experience with data analytics technologies, and strong relationship-building skills.
- Other info: Dynamic role with a focus on collaboration and innovation in a supportive environment.
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.
- 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, to build cases for transformation with implementation plans.
- Experience prioritising 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 organisation'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, focusing 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 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.
Data Analytics Sales Specialist, Financial Services, Cloud in London employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Sales Specialist, Financial Services, Cloud in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy about reaching out to potential colleagues on LinkedIn. Building relationships can open doors that a CV just can’t.
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, make sure to highlight your experience with data analytics and cloud technologies. Share specific examples of how you've helped clients transform their businesses using these tools.
✨Tip Number 3
Prepare for interviews by researching the company and its products. Understand their data analytics solutions and think about how you can contribute to their goals. This will help you tailor your responses and show that you’re genuinely interested in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, go ahead and submit your application today!
We think you need these skills to ace Data Analytics Sales Specialist, Financial Services, Cloud in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 10 years of sales experience in the enterprise software or cloud space. We want to see how you've sold data analytics or data management technologies, so don’t hold back on those details!
Tailor Your Application: Customise your application to reflect the job description. Use keywords from the listing, especially around big data technologies and cloud solutions. This helps us see that you’re a perfect fit for the role!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to understand your skills and experiences at a glance.
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’s super easy to do!
How to prepare for a job interview at Google
✨Know Your Stuff
Make sure you brush up on your knowledge of data analytics and cloud technologies. Familiarise yourself with key concepts like ETL, ELT, and data governance. Being able to discuss these topics confidently will show that you're not just a sales person, but a knowledgeable partner for clients.
✨Showcase Your Experience
Prepare specific examples from your past roles where you've successfully sold data analytics solutions or managed complex customer relationships. Highlight how you’ve helped clients achieve their goals through your expertise in the financial services sector. This will demonstrate your capability and relevance to the role.
✨Understand the Customer's Needs
Before the interview, research the company and its customers. Think about how their business challenges align with the solutions you can offer. Be ready to discuss how you would approach building relationships and delivering value to their specific needs.
✨Collaborate and Communicate
Since this role involves working with cross-functional teams, be prepared to discuss your experience in collaboration. Share examples of how you've worked with technical leads, marketing, and customer success teams to drive business growth. Emphasising your teamwork skills will show that you can thrive in a collaborative environment.