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- Tasks: Analyse data to provide actionable insights for advertisers and improve campaign performance.
- Company: Join Amazon Ads, a leader in innovative advertising solutions at the intersection of marketing and ecommerce.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
- Why this job: Be part of a team that drives impactful marketing strategies and enhances customer experiences.
- Qualifications: Bachelor's degree in a relevant field and strong analytical skills required; SQL and Python proficiency preferred.
- Other info: Ideal for those who love data, collaboration, and learning new skills in a fast-paced setting.
The predicted salary is between 36000 - 60000 £ per year.
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Analytics and Insight Professional, Amazon Ads, Amazon, London
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Client:
Amazon Online UK Limited
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
ca513ada748c
Job Views:
14
Posted:
18.07.2025
Expiry Date:
01.09.2025
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Job Description:
Amazon Ads exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners.
We are currently looking for a highly skilled and motivated Analytics and Insight Professional (AIP) to help scale our growing advertising business. The AIP is a key member of the Sales and Partner Enablement team at Amazon Advertising, working with sales, product, retail and other Amazon business partners to analyze and improve advertisers’ performance on Amazon, in support of their marketing initiatives. AIPs work with Amazon\’s unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and unlock business opportunities. Day to day, AIP activities include analyzing metrics of success for a business or category, developing data-driven insights and recommendations for C-suite client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital expertise of an AIP is critical to delivering the best return on investment for our customers.
Key job responsibilities
• Use Amazon’s data and your understanding of our advertising customers’ business to provide guidance to C-suite marketing leaders, via business reviews and frequent in-person client presentations to regularly iterate on and articulate a brand’s strategy
• Present findings and insights in a consultative way to the client and collaborate with the relevant internal teams in order to provide a complete solution
• Be able to deal with ambiguity in order decipher complex problems, select an ideal solution from a wide array of analytic techniques and concepts and translate into actionable requirements for your team
• Have the ability to collaborate, work cross-functionally and communicate effectively across multiple business functions and geographies
• Proactively provide appropriate levels of support and guidance to other locales outside of your core market
• Deliver regular and bespoke analyses and insights for some of the world’s largest advertisers to drive growth across advertiser KPIs and help them grow their businesses
• Demonstrate deep analytical ability, and develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data driven insights to our advertisers
• Educate other teams on Amazon media offerings and keep them engaged by delivering learning sessions, writing training documentation and whitepapers for internal and external use
• Be a proponent of data driven decision making and encourage clients to act on the recommendations
• Be someone who enjoys, and shows an appetite for, learning new skills and adopting new analytic methodologies and tools
BASIC QUALIFICATIONS
– Bachelor\’s degree in business administration, finance, economics, computer science, data science, engineering, or other related field
– Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders
– In depth understanding of advanced statistical techniques and methodologies as well as simple linear regression analysis, multivariate regression analysis and model building
– Advanced in SQL ability to write complex queries from scratch from multiple tables
– Fluency with Python (or R) – ability to run advanced statistical modelling
PREFERRED QUALIFICATIONS
– Consulting experience with a major consulting firm or advertising experience with a top advertiser (agency or client side)
– Experience with advertising publishers and marketing/creative agencies
– MBA, Master’s or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media planning experience
– Experience in ad measurement, predictive analytics, experimental design, A/B testing
– Experience and familiarity with AWS stack
– Fluent in French or other European languages
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Analytics and Insight Professional, Amazon Ads, Amazon employer: Amazon Online UK Limited
Contact Detail:
Amazon Online UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics and Insight Professional, Amazon Ads, Amazon
✨Tip Number 1
Familiarise yourself with Amazon's advertising solutions and metrics. Understanding how their platform works will allow you to speak confidently about how you can leverage data to improve advertiser performance.
✨Tip Number 2
Network with current or former employees in similar roles at Amazon. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Brush up on your SQL and Python skills. Being able to demonstrate your technical abilities in these areas during discussions will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss case studies or examples of how you've used data to drive business decisions. This will showcase your analytical skills and ability to translate insights into actionable strategies.
We think you need these skills to ace Analytics and Insight Professional, Amazon Ads, Amazon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Analytics and Insight Professional role. Focus on your analytical abilities, experience with SQL and Python, and any consulting or advertising experience you may have.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision making and how your background makes you a great fit for Amazon Ads. Mention specific examples of how you've used analytics to drive business results in previous roles.
Showcase Your Analytical Skills: Provide concrete examples of your analytical work in your application. Discuss any advanced statistical techniques you've employed, and how you've translated complex data into actionable insights for stakeholders.
Highlight Collaboration Experience: Since the role requires cross-functional collaboration, emphasise your experience working with diverse teams. Share examples of how you've effectively communicated insights to both technical and non-technical audiences.
How to prepare for a job interview at Amazon Online UK Limited
✨Understand Amazon's Advertising Ecosystem
Familiarise yourself with how Amazon Ads operates within the broader marketing and e-commerce landscape. Be prepared to discuss how advertising can enhance customer experience and ROI, as this will show your understanding of the company's core values.
✨Showcase Your Analytical Skills
Be ready to demonstrate your proficiency in advanced statistical techniques and SQL. Prepare examples of how you've used data to drive insights and recommendations in previous roles, especially in a consultative capacity.
✨Prepare for Client-Facing Scenarios
Since the role involves presenting findings to C-suite executives, practice articulating complex data insights in a clear and compelling manner. Consider mock presentations to refine your delivery and ensure you can engage high-level stakeholders effectively.
✨Emphasise Collaboration and Communication
Highlight your experience working cross-functionally and your ability to communicate with both technical and non-technical teams. Share specific instances where your collaborative efforts led to successful outcomes, as this is crucial for the role.
