Consultant, Analytics, Ads Insights
Amazon is hiring a Consultant, Analytics, Ads Insights in Shanghai, China. Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions SQL, Python and R among its tools and skills.
- Level classes it as a senior role.
- Amazon has 21,000+ other open roles on Level.
AI in this role
Provide strategic ad measurement and analytics consulting to accelerate Amazon Ads business growth in Canada.
As an Insights and Measurement Consultant, you will work as an individual contributor to accelerate our advertising business growth in Canada. You will serve as a strategic advisor, implementing analytics solutions to drive business transformation. You will lead Ad measurement discussions, create actionable insights, and present clear recommendations to executive stakeholders.
Key job responsibilities
• Leverage Amazon's proprietary data, third-party research, and ad measurement solutions to generate actionable insights
• Own senior-level measurement and insights customer relationships, partnering across strategic learning objectives that influence business decision-making
• Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies
• Advocate for data-driven decision-making and guide advertisers to implement recommended solutions
About the team
The Analytics & Insights team is a key member of the Amazon Ads Sales organization. We provide analytics-driven Sales enablement support internally as well as insights-based consulting for advertisers. Our team deliver impactful insights incorporating knowledge of existing measurement and product capabilities. We innovate to stay ahead of industry trends and cater to diverse advertiser/agency needs. We enable scaling of insights through strategic partnerships with product and engineering team.
Basic qualifications
- Bachelor's degree
- Working experience with data analysis tools SQL, Python/R.
- Experience in advertising measurement methodologies, including incrementality, marketing mix modeling, and media attribution.
- Fluency with Python, R, SAS, etc. and ability to run or ramp up on statistical modelling and testing in one of the above languages
- Solid understanding of Data Science and Marketing Science subjects such as regression, hypothesis testing and audience analysis
- Ability to work cross-functionally and excellent organizational, interpersonal, and communication skills
- Comfortable presenting complex analysis in an easy to digest way to stakeholders and C-suite level advertisers
- Fluency in spoken and written English and Chinese
Preferred qualifications
- Experience in delivering client facing projects in a consultancy role
- Experience with project management or technical product management
- Experience with advertising publishers, marketing/creative agencies or digital media planning
- Publication track record/writing experience (ex. published a paper in a technical journal or trade publication)
- MBA, Master’s or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Consultant, Analytics, Ads Insights at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where advertising measurement was part of your work. What did you do?
- Tell me about a project where marketing science was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Advertising Measurement, Marketing Science, Statistical Modeling, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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