ApplySarthi Match jobs to your CV

Senior Business Intelligence Engineer, Everyday Essentials Replenishment

Amazon.com Services LLC

Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

8 open replenishment roles across 5 companies are on ApplySarthi right now.

What replenishment roles keep asking for: AWS (25%), Data modelling (25%), Data warehousing (25%), ETL (25%), MATLAB (25%), Python (25%), R (25%), Redshift (25%) — counted across their open postings here.

Business Intelligence Engineer jobs in the United States · Business Intelligence Engineer jobs in Seattle · AWS jobs · Data modelling jobs · Data warehousing jobs · ETL jobs

Amazon.com Services LLC has 4,316 open roles listed here.

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

Preparing for this interview

Interviews for replenishment roles keep coming back to AWS, Data modelling, Data warehousing, ETL. Practise those questions before you sit with Amazon.com Services LLC.

Questions you are likely to be asked

  1. Why do you want to join Amazon.com Services LLC?
  2. What is your experience with ETL? Tell me one thing you learned the hard way.
  3. How would you design an API for a feature you have worked on?
  4. What do you do when a production issue happens on your code?
  5. Walk me through a system you built. How was it designed, and what would you change now?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Senior Business Intelligence Engineer, Everyday Essentials Replenishment at Amazon.com Services LLC interview free →

The Everyday Essentials (EE) Replenishment team is looking for a Business Intelligence Engineer III to lead analytics strategy and drive insights that power one of Amazon's largest subscription programs, Basic qualifications: - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 3+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience - 3+ years of processing large, multi-dimensional datasets from multiple sources experience - Master's degree, or PhD and 3+ years of hands-on predictive modeling and large data analysis experience - 3+ years of developing automated reporting experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages - Experience with data modeling, warehousing and building ETL pipelines - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) Preferred: - Master's degree or above in a quantitative field - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Master's degree, or PhD and 5+ years of building machine learning models for business application experience - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience as a mentor, tech lead or leading an engineering team - Experience building measures and metrics, and developing reporting solutions - Experience using complex financial models, KPIs, and data analysis to shape long-term business strategy and influence senior leadership decisions, with proven, measurable impact at an organisational level (e.g., financial savings, operational improvements, or customer benefits) 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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on amazon · posted 2026-09-15. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.