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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 flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that drives impactful marketing strategies and enhances customer experiences.
- Qualifications: Bachelor's degree in relevant fields; strong analytical skills and proficiency in SQL and Python required.
- Other info: Ideal for those who thrive in a fast-paced environment and love tackling complex challenges.
The predicted salary is between 36000 - 60000 £ per year.
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Analytics & Insights Professional, Analytics & Insights, Amazon Ads, 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:
c7d4d5e3afe8
Job Views:
12
Posted:
22.06.2025
Expiry Date:
06.08.2025
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Job Description:
Amazon Ads exists at the intersection of marketing and ecommerce. It offers advertisers a rich array of innovative advertising solutions across Amazon owned properties in addition to third party properties that 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 Insights 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’ businesses 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 analytical techniques and concepts and translate these into actionable recommendations
• 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 marketplace
• Deliver regular and bespoke analyses to some of the world’s largest advertisers to drive growth across advertiser KPIs
• 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
• 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 with the 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, German, Italian, or Spanish
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Analytics & Insights Professional, Analytics & Insights, Amazon Ads 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 & Insights Professional, Analytics & Insights, Amazon Ads
✨Tip Number 1
Familiarise yourself with Amazon's advertising solutions and how they integrate with e-commerce. Understanding the unique aspects of their platform will help you articulate your insights more effectively during interviews.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on real-world projects or case studies that demonstrate your ability to analyse data and derive actionable insights.
✨Tip Number 3
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 the interview process.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive business decisions in past roles. Being able to showcase your analytical thinking and problem-solving skills will set you apart from other candidates.
We think you need these skills to ace Analytics & Insights Professional, Analytics & Insights, Amazon Ads
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Analytics & Insights 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 any past experiences where you've worked with diverse teams. Illustrate how you 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 marketing and ecommerce 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 to C-suite clients, practice articulating complex data insights in a clear and compelling manner. Think of ways to convey your findings that would resonate with high-level stakeholders.
✨Emphasise Collaboration and Communication
Highlight your ability to work cross-functionally and communicate effectively across various teams. Share experiences where you successfully collaborated on projects or solved complex problems with diverse groups.
