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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 for top global brands.
- Qualifications: Bachelor's degree in relevant fields; strong analytical skills and proficiency in SQL and Python required.
- Other info: Ideal for those passionate about data-driven decision making and eager to learn new methodologies.
The predicted salary is between 36000 - 60000 £ per year.
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.
- 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 to 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.
Analytics and Insight Professional, Amazon Ads, Amazon employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK 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 these tools work will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with current or former employees of Amazon Ads on platforms like LinkedIn. They can provide valuable insights into the company culture and the specific skills that are highly valued in the Analytics and Insight Professional role.
✨Tip Number 3
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or online courses that allow you to apply these skills in real-world scenarios, which can be a great talking point during interviews.
✨Tip Number 4
Prepare to discuss case studies or examples where you've used data to drive business decisions. Being able to articulate your thought process and the impact of your insights will set you apart from other candidates.
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. Emphasise your analytical abilities, familiarity with SQL and Python, and any consulting or advertising experience.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision making and your understanding of Amazon Ads. Use specific examples from your past experiences to demonstrate how you can provide actionable insights and support C-suite marketing leaders.
Showcase Your Analytical Skills: In your application, include examples of how you've used advanced statistical techniques and methodologies in previous roles. Highlight any experience with A/B testing, predictive analytics, or ad measurement to show your expertise.
Prepare for Technical Questions: Be ready to discuss your technical skills in SQL and Python during the application process. Consider preparing examples of complex queries you've written or statistical models you've built to illustrate your capabilities.
How to prepare for a job interview at ENGINEERINGUK
✨Understand Amazon's Advertising Ecosystem
Familiarise yourself with how Amazon Ads operates within the broader 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 SQL and Python (or R). Prepare examples of how you've used advanced statistical techniques to derive actionable insights from data, as this is crucial for the role.
✨Prepare for Consultative Presentations
Since the role involves presenting findings to C-suite clients, practice articulating complex data insights in a clear and compelling manner. Use mock presentations to refine your delivery and ensure you can engage effectively with high-level stakeholders.
✨Emphasise Cross-Functional Collaboration
Highlight your experience working across different teams and functions. Be ready to discuss specific instances where you've collaborated with diverse groups to achieve common goals, as this is key to succeeding in the role.
