At a Glance
- Tasks: Lead strategic collaborations and negotiate deals across EMEA for AWS.
- Company: Join Amazon, a leader in cloud technology and innovation.
- Benefits: Competitive salary, flexible working options, and career advancement opportunities.
- Other info: Dynamic role with exposure to high-level executives and diverse projects.
- Why this job: Shape the future of cloud partnerships and drive impactful business strategies.
- Qualifications: Strong negotiation skills and experience in technology sales required.
The predicted salary is between 63000 - 77000 £ per year.
Amazon is seeking a Deal Lead in the AWS Global Deal Strategy and Programs (GDSP) to drive engagement and lead critical phases of the Deal Cycle for Strategic Collaborations across EMEA. The role is highly partner-facing, working with customers, APN programs, and sales leaders to develop GTM strategic collaborations and executive-aligned deal structures. The successful candidate will possess a strong deal strategist and negotiator background, with experience in technology sales.
Strategic Deals Lead, GTM & Cloud Partnerships (EMEA) in London employer: Amazon Inc.
At Amazon Development Centre in Edinburgh, we are committed to fostering a collaborative and inclusive work culture that empowers our employees to innovate and excel. As an Applied Scientist in our Intelligent Talent Acquisition team, you will have the opportunity to work on cutting-edge machine learning technologies that directly impact recruitment processes, while benefiting from mentorship and professional growth opportunities. Join us to make a meaningful difference in how talent is acquired globally, all within a vibrant city known for its rich history and dynamic tech scene.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Deals Lead, GTM & Cloud Partnerships (EMEA) in London
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
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We think you need these skills to ace Strategic Deals Lead, GTM & Cloud Partnerships (EMEA) in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Amazon Inc., tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Amazon Inc.
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Amazon Inc.’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
