Business Intelligence Engineer, Core Shopping Analytics
Amazon.com Services LLC•3h ago
United StatesOnsite$99.5K–$160KFull-timeMid Level3+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Analytics EngineerBusiness AnalystHr Business Partner
- Core Shopping (CS) Analytics turns disparate, raw data into actionable insights that improve every customer’s ability to securely discover, evaluate
- purchase products and services across the Amazon store. We own the analytics for the Homepage, Navigation, Reviews, Detail Page, List, App First
- Cross-Store experiences. Key job responsibilities You are an Analytics subject matter expert, helping customers discover, find
- evaluate items across the Store. You will own the core datasets to understand how customers use your experience's features. Collaborating with Product Managers and Engineers, you will develop a framework to understand the levers that drive a better experience. You will deliver in-depth analysis and recommendations to drive the product roadmap, generating incremental business value. As the chief evangelist, you will drive adoption of your dataset and mental model across the Consumer organization. Lastly, you will collaborate with a 10+ team of BIEs, DEs and DSs to understand how your experience fits into the broader shopping journey to improve the end-to-end shopping experience. A day in the life We build in 5-week Sprints with 1 week for planning and 4 weeks for execution. Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a self-directed Learning Day. Over the 4 Execution Weeks, we have regular stand-ups and a mid-sprint demo. Projects will vary sprint to sprint among building derived/aggregate datasets, conducting analysis
- pushing learnings to customers. About the team Today, we empower 500+ Builders directly and 100+ unique partner teams via our ‘Source of Truth’ datasets, self-service dashboards/gits, scheduled reports
- custom metrics consumed for cross-store evaluation. In 2026, we will support new experiences end-to-end from logging to reporting/self-service and continued maturing our foundational service offerings to enable more bandwidth for insight generation.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight
- 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 with AWS solutions such as EC2, DynamoDB, S3
- Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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
- 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
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
Required skills
RedshiftOracleNoSQLTableauQuicksightdata modelingwarehousingETLRSASMatlabSQLPythonAWSEC2