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Analytics and Insight Professional, Amazon Ads, Amazon

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Amazon

10d ago

  • Job
    Full-time
    Mid & Senior Level
  • Consulting
    Data
  • London

AI generated summary

  • You need a relevant degree, advanced SQL and Python skills, consulting or advertising experience, knowledge of statistical methods, and fluency in a European language.
  • You will analyze data, present insights to clients, collaborate across teams, guide marketing leaders, deliver bespoke analyses, educate others, and promote data-driven decision-making.

Requirements

  • 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
  • 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

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

FAQs

What is the primary role of the Analytics and Insight Professional (AIP) at Amazon Ads?

The primary role of the AIP is to analyze and improve advertisers' performance on Amazon by providing high-quality and actionable insights and recommendations based on Amazon's unique data.

What type of educational background is required for this position?

A Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or a related field is required.

What specific technical skills are necessary for the role?

Candidates should have advanced SQL skills to write complex queries, fluency with Python (or R) for advanced statistical modeling, and an understanding of advanced statistical techniques and methodologies.

Is consulting experience preferred for this position?

Yes, consulting experience with a major consulting firm or advertising experience with a top advertiser (agency or client side) is preferred.

Are there any preferred qualifications for this role?

Preferred qualifications include an MBA, Master's or Doctoral degree in fields like Economics, Marketing, Statistics, or Advertising, experience in ad measurement and predictive analytics, familiarity with the AWS stack, and fluency in French or other European languages.

What type of work environment can a candidate expect?

Candidates can expect a collaborative and cross-functional work environment, where they will communicate effectively with multiple business functions and geographies.

How much emphasis is placed on data-driven decision making in this role?

There is a strong emphasis on data-driven decision making, and candidates should be proponents of encouraging clients to act on their recommendations.

Will there be opportunities for professional development in this position?

Yes, the role requires a continuous appetite for learning new skills and adopting new analytic methodologies and tools, which fosters professional development.

Does this job require travel?

The job involves presenting insights and collaborating with clients, which may require some travel for in-person meetings and presentations.

Are there accommodations available for applicants with disabilities?

Yes, Amazon provides accommodations and adjustments for candidates with disabilities during the application and hiring process.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.