Business Intelligence Engineer, Listing Analytics

Business Intelligence Engineer, Listing Analytics

o:  |  Services LLC

Are you looking for a role that allows you to shape the future of how sellers sell their products globally with Amazon? Do you like working in a start‑up like environment with the opportunity to have a significant impact from day 1? Do you have an insatiable curiosity about why Amazon global stores operate as they do and how Amazon could optimize its global selling business?

If so, then keep reading as this could be the role for you.

• Engage with leadership and diversified customer groups to understand needs and recommend business intelligence solutions.
• Partner with engineering teams to define data elements and structures that the team should leverage to develop critical seller experience metrics.
• Design, implement, and support platforms that provide business teams ad‑hoc access to large datasets for self‑service deep dives (e.g., data visualization tools for non‑tech business users).
• Interface with business customers, gather requirements and deliver complete reporting solutions.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Participate in strategic and tactical planning discussions.
• Standardize data and report consumption across all customer groups.
• Make recommendations for new metrics, techniques, and strategies to improve operational and quality metrics.
• Be connected and influential within the Amazon BIE community; work with data engineering and software development teams to enable the appropriate capture and storage of key data points.

• 3+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL, etc.
• Experience developing and presenting recommendations of new metrics allowing better understanding of business performance.
• Experience with data mining, ETL, and using databases in a large‑scale, complex datasets environment.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with 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, and Redshift.
• Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or an equivalent quantitative field.

The base salary range for this position is 99,500.00 –  USD annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional 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.

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 (Use the "Apply for this Job" box below).

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USA, WA, Seattle