At a Glance
- Tasks: Lead the go-to-market strategy for Data across EMEA, focusing on Databases, Analytics, and AI.
- Company: Join Amazon Inc., a global leader in technology and innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and lead exciting data initiatives across multiple regions.
- Why this job: Shape the future of data solutions and drive impactful strategies in a dynamic environment.
- Qualifications: Experience in go-to-market strategies and strong leadership skills required.
The predicted salary is between 85500 - 104500 £ per year.
Amazon Inc. is seeking a GTM Specialist EMEA Data Leader to own the end-to-end go-to-market strategy for the Data domain across EMEA, spanning Database, Storage, and Analytics. You will define multi-year strategy, drive KPIs, and allocate resources in a fast-moving, matrixed environment, interfacing with Sales, Solutions Architecture, Business Development, Partners, and Marketing. You will lead senior GTM specialists across geographies, coach leaders, and sponsor large data programs.
EMEA Data GTM Leader: Databases, Analytics & AI 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 EMEA Data GTM Leader: Databases, Analytics & AI in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace EMEA Data GTM Leader: Databases, Analytics & AI in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Amazon Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Amazon Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Amazon Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Amazon Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
