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Business Intel Engineer, WW Promotions and Events Data and Insights

Amazon

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18 open promotions roles across 7 companies are on ApplySarthi right now.

What promotions roles keep asking for: SQL (22%), AWS (17%), Excel (17%), Generative AI (17%) — counted across their open postings here.

AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs

Amazon has 14,204 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for promotions roles keep coming back to SQL, AWS, Excel, Generative AI. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with Data warehousing? Tell me one thing you learned the hard way.
  3. Describe a time a deadline forced a trade-off in quality. What did you choose and why?
  4. How would you design an API for a feature you have worked on?
  5. What do you do when a production issue happens on your code?

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Practise the Business Intel Engineer, WW Promotions and Events Data and Insights at Amazon interview free →

Are you looking for a role where you have the opportunity to shape Amazon’s Promotions using data, analytics, and insights? If so, this role is for you.Join our WW Promotions Data and Insights team, where Basic qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience - Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience using SQL (Structured Query Language) to pull data from a database or data warehouse - Experience using Python scripting to process data for modeling Preferred: - Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 76,400.00 - 127,600.00 CAD annually

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Listed on amazon · posted 2026-04-15. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.